Data documentation

Click on each dataset’s name to see its description, license, citation, and link to its original source. Code used to create these data can be found here.

Personality assessment (CC BY 4.0) [link] Catell’s 16 Personality Factors Test [dataset and codebook]. http://openpsychometrics.org/_rawdata/16PF.zip
Data from a 4th grade math test of German students. (GPL-3) [link] Robitzsch A (2022). sirt: Supplementary Item Response Theory Models. R package version 3.12-66, https://CRAN.R-project.org/package=sirt.
Ratings of 5 personality traits on 14 items (CC BY 4.0) [link] Smits, I. A. M., Dolan, C. V., Vorst, H. C. M., Wicherts, J. M., & Timmerman, M. E. (2011). Cohort differences in Big Five personality factors over a period of 25 years. Journal of Personality and Social Psychology, 100(6), 1124–1138. https://doi.org/10.1037/a0022874
Claremont Purpose Scale (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
Perce Empathy Scale (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
Meaning of Life (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
National Eye Institute Questionnaire (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
Pancreatic Exocrine Insufficiency (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
Patient Health Questionnaire (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
Purpose in Life (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
Strengths and Difficulties Questionnaire (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
Short Warwick-Edinburgh Mental Wellbeing Scale (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
Satisfaction with Life Scale (CC-By Attribution 4.0 International) [link] Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
Apathy Motivation Index–Child Version (CC-By Attribution 4.0 International) [link] Hewitt, S.R., Habicht, J., Bowler, A. et al. Probing apathy in children and adolescents with the Apathy Motivation Index–Child version. Behav Res 56, 3982–3994 (2024). https://doi.org/10.3758/s13428-023-02184-4
Actively Open-Minded Thinking Scale (CC-By Attribution 4.0 International) [link] Rachev, N. R., Geiger, S. J., Vintr, J., Kirilova, D., Nabutovsky, A., & Nelsson, J. (2022). Actively open-minded thinking, bullshit receptivity, and susceptibility to framing: Evaluating the dual-process account in North America and Bulgaria. European Journal of Psychological Assessment, 38(6), 440–451. https://doi.org/10.1027/1015-5759/a000685
The Bullshit Receptivity Scale (CC-By Attribution 4.0 International) [link] Rachev, N. R., Geiger, S. J., Vintr, J., Kirilova, D., Nabutovsky, A., & Nelsson, J. (2022). Actively open-minded thinking, bullshit receptivity, and susceptibility to framing: Evaluating the dual-process account in North America and Bulgaria. European Journal of Psychological Assessment, 38(6), 440–451. https://doi.org/10.1027/1015-5759/a000685
Resistance to Framing Scale (CC-By Attribution 4.0 International) [link] Rachev, N. R., Geiger, S. J., Vintr, J., Kirilova, D., Nabutovsky, A., & Nelsson, J. (2022). Actively open-minded thinking, bullshit receptivity, and susceptibility to framing: Evaluating the dual-process account in North America and Bulgaria. European Journal of Psychological Assessment, 38(6), 440–451. https://doi.org/10.1027/1015-5759/a000685
Action and Acceptance Questionnaire-II (CC 4.0) [link] Ptáček, Martin & Jelínek, Martin. (2024). Assessing psychological flexibility: The psychometric properties of the Czech translation of the CompACT questionnaire. Ceskoslovenska psychologie. 68. 10.51561/cspsych.68.1.30.
Depression Anxiety Stress Scale (CC 4.0) [link] Ptáček, Martin & Jelínek, Martin. (2024). Assessing psychological flexibility: The psychometric properties of the Czech translation of the CompACT questionnaire. Ceskoslovenska psychologie. 68. 10.51561/cspsych.68.1.30.
Satisfaction With Life Scale (CC 4.0) [link] Ptáček, Martin & Jelínek, Martin. (2024). Assessing psychological flexibility: The psychometric properties of the Czech translation of the CompACT questionnaire. Ceskoslovenska psychologie. 68. 10.51561/cspsych.68.1.30.
Social desirability bias (CC0 1.0) [link] Zissette, Seth, 2018, “Development and Pyschometric Validation of Measures for Vaginal Ring Adherence Survey”, https://doi.org/10.7910/DVN/5W9HXM, Harvard Dataverse, V1, UNF:6:mDWjaac6I49x5MDOEq2dDw== [fileUNF]
Turkish version of the Aspiration Index (CC BY 4.0) [link] Sonmez, F. (2023). Psychometric properties of the Turkish version of the Aspiration Index and the relationship between aspirations and subjective well-being. International Journal of Happiness and Development, 8(1), 28-43.

Broad visual perception subtest for Brazil high school students (CC0) [link] Golino, H. F., & Gomes, C. M. A. (2014). Psychology data from the “BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models–Carroll’s Model and the CHC model”. Journal of Open Psychology Data, 2(1), e6-e6.

Golino, Hudson; Gomes, Cristiano, 2013, “Data from the BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models: Carroll’s model and the CHC model.”, https://doi.org/10.7910/DVN/23150, Harvard Dataverse, V1, UNF:5:gvU0svAl87oW02bkbMD0zg== [fileUNF]

Crystallized intelligence tests from Brazil high school students (CC0) [link] Golino, H. F., & Gomes, C. M. A. (2014). Psychology data from the “BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models–Carroll’s Model and the CHC model”. Journal of Open Psychology Data, 2(1), e6-e6.

Golino, Hudson; Gomes, Cristiano, 2013, “Data from the BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models: Carroll’s model and the CHC model.”, https://doi.org/10.7910/DVN/23150, Harvard Dataverse, V1, UNF:5:gvU0svAl87oW02bkbMD0zg== [fileUNF]

Fluid intelligence test from Brazil high school students (CC0) [link] Golino, H. F., & Gomes, C. M. A. (2014). Psychology data from the “BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models–Carroll’s Model and the CHC model”. Journal of Open Psychology Data, 2(1), e6-e6.

Golino, Hudson; Gomes, Cristiano, 2013, “Data from the BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models: Carroll’s model and the CHC model.”, https://doi.org/10.7910/DVN/23150, Harvard Dataverse, V1, UNF:5:gvU0svAl87oW02bkbMD0zg== [fileUNF]

Short-term memory subtests from Brazil high school students (CC0) [link] Golino, H. F., & Gomes, C. M. A. (2014). Psychology data from the “BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models–Carroll’s Model and the CHC model”. Journal of Open Psychology Data, 2(1), e6-e6.

Golino, Hudson; Gomes, Cristiano, 2013, “Data from the BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models: Carroll’s model and the CHC model.”, https://doi.org/10.7910/DVN/23150, Harvard Dataverse, V1, UNF:5:gvU0svAl87oW02bkbMD0zg== [fileUNF]
Buss–Perry Aggression Questionnaire amongst police officers (CC BY 4.0) [link] Christopher, M., Ferry, M., Simmons, A., Vasquez, A., Reynolds, B., & Grupe, D. (2024). Psychometric properties of the Buss–Perry Aggression Questionnaire‐short form among law enforcement officers. Aggressive behavior, 50(2), e22145.
Five Facet Mindfulness Questionnaire amongst police officers (CC BY 4.0) [link] Christopher, M., Ferry, M., Simmons, A., Vasquez, A., Reynolds, B., & Grupe, D. (2024). Psychometric properties of the Buss–Perry Aggression Questionnaire‐short form among law enforcement officers. Aggressive behavior, 50(2), e22145.
Oldenburg Burnout Inventory amongst police officers (CC BY 4.0) [link] Christopher, M., Ferry, M., Simmons, A., Vasquez, A., Reynolds, B., & Grupe, D. (2024). Psychometric properties of the Buss–Perry Aggression Questionnaire‐short form among law enforcement officers. Aggressive behavior, 50(2), e22145.
PTSD Checklist for DSM-5 amongst police officers (CC BY 4.0) [link] Christopher, M., Ferry, M., Simmons, A., Vasquez, A., Reynolds, B., & Grupe, D. (2024). Psychometric properties of the Buss–Perry Aggression Questionnaire‐short form among law enforcement officers. Aggressive behavior, 50(2), e22145.
Patient Reported Outcomes Measurement Information System (PROMIS® v1.0) short form versions for sleep disturbance, alcohol use, and anger amongst police officers. (CC BY 4.0) [link] Christopher, M., Ferry, M., Simmons, A., Vasquez, A., Reynolds, B., & Grupe, D. (2024). Psychometric properties of the Buss–Perry Aggression Questionnaire‐short form among law enforcement officers. Aggressive behavior, 50(2), e22145.
Perceived stress scale amongst police officers (CC BY 4.0) [link] Christopher, M., Ferry, M., Simmons, A., Vasquez, A., Reynolds, B., & Grupe, D. (2024). Psychometric properties of the Buss–Perry Aggression Questionnaire‐short form among law enforcement officers. Aggressive behavior, 50(2), e22145.
Self-Compassion Scale-short form amongst police officers (CC BY 4.0) [link] Christopher, M., Ferry, M., Simmons, A., Vasquez, A., Reynolds, B., & Grupe, D. (2024). Psychometric properties of the Buss–Perry Aggression Questionnaire‐short form among law enforcement officers. Aggressive behavior, 50(2), e22145.
Brief self-control scale (CC-By Attribution 4.0 International) [link] Goto, T. (2021). Comparing the Psychometric Properties of Two Japanese-Translated Scales of the Free Will and Determinism-Plus Scale. Frontiers in Psychology, 12, 720601.
Brief form of creative behavior inventory (CC-By Attribution 4.0 International) [link] Rodriguez, R. M., Silvia, P. J., Kaufman, J. C., Reiter-Palmon, R., & Puryear, J. S. (2023). Taking inventory of the creative behavior inventory: An item response theory analysis of the CBI. Creativity Research Journal, 35(2), 143-153.

Consideration of Future Consequences (CFC-12) scale (CC0 1.0) [link] KV, V. B., & Indradevi, R. (2017). RELATIONSHIP OF ACADEMIC PROCRASTINATION AND CONSIDERATION OF FUTURE CONSEQUENCES-AN EMPIRICAL STUDY AMONG UNIVERSITY STUDENTS. Global Management Review, 11(1).

Kurumbur Varadharajan, Vaidhyanatha Balaji, 2019, “CFC-12 Data used for “Relationship of Academic Procrastination and Consideration of Future Consequences – An Empirical Study among University Students”, https://doi.org/10.7910/DVN/1KDJTZ, Harvard Dataverse, V1, UNF:6:HAttubnAkzfOirP1+LgpMg== [fileUNF]
Child Executive Functioning Inventory (CHEXI) Parent/teacher-report (CC 1.0) [link] Lin, Hui-Li, 2019, “TC-CHEXI”, https://doi.org/10.7910/DVN/YRLEAY, Harvard Dataverse, V1
activities of daily living (CC0 1.0) [link] Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, “The Chinese Older Adult Collaborations in Health (COACH) Study”, https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1
Client Satisfaction Questionnaire 8-item (CC0 1.0) [link] Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, “The Chinese Older Adult Collaborations in Health (COACH) Study”, https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1
Hamilton Depression Rating Scale (CC0 1.0) [link] Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, “The Chinese Older Adult Collaborations in Health (COACH) Study”, https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1
instrumental activities of daily living (CC0 1.0) [link] Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, “The Chinese Older Adult Collaborations in Health (COACH) Study”, https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1
Medical Outcomes Study Social Support Survey, (CC0 1.0) [link] Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, “The Chinese Older Adult Collaborations in Health (COACH) Study”, https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1
Patient Health Questionnaire-9 (CC0 1.0) [link] Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, “The Chinese Older Adult Collaborations in Health (COACH) Study”, https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1
Social Network Size (CC0 1.0) [link] Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, “The Chinese Older Adult Collaborations in Health (COACH) Study”, https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1
WHO Quality of Life-BREF (CC0 1.0) [link] Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, “The Chinese Older Adult Collaborations in Health (COACH) Study”, https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1
Stigma related to receiving medical treatment (CC0 1.0) [link] Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, “The Chinese Older Adult Collaborations in Health (COACH) Study”, https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1
High-conflict Dilemmas (CC-By Attribution 4.0 International) [link] Kunnari, A., Sundvall, J. R., & Laakasuo, M. (2020). Challenges in process dissociation measures for moral cognition. Frontiers in Psychology, 11, 559934.
process dissociation (PDP) procedure (CC-By Attribution 4.0 International) [link] Kunnari, A., Sundvall, J. R., & Laakasuo, M. (2020). Challenges in process dissociation measures for moral cognition. Frontiers in Psychology, 11, 559934.

Strengthening the Reporting of Observational studies in Epidemiology(STROBE) (CC 1.0) [link] Hur, Y., & Seo, D. G. (2023). Development of a character qualities test for medical students in Korea using polytomous item response theory and factor analysis: a preliminary scale development study. Journal of Educational Evaluation for Health Professions, 20.

Yera Hur; Dong Gi Seo, 2023, “Development of a character qualities test for medical students in Korea using polytomous item response theory and factor analysis: a preliminary scale development study”, https://doi.org/10.7910/DVN/UE55JT, Harvard Dataverse, V1

Self-Efficacy Scale for Clinical Skills (L-SES) (CC 1.0) [link] Bayazit, A., Gonullu, I., & Dogan, C. D. (2022). Adaptation of a short and universal learning self-efficacy scale for clinical skills in Turkish. Plos one, 17(11), e0275672.

Kang, Y. N., Chang, C. H., Kao, C. C., Chen, C. Y., & Wu, C. C. (2019). Development of a short and universal learning self-efficacy scale for clinical skills. PloS one, 14(1), e0209155.

BAYAZIT, ALPER, 2022, “Adaptation of a Short and Universal Learning Self-Efficacy Scale for Clinical Skills in Turkish”, https://doi.org/10.7910/DVN/M0NJIQ, Harvard Dataverse, V1, UNF:6:RmFV+H/6Bc+ERCX++pcoew== [fileUNF]
Big Five Inventory, Neuroticism (CC BY 4.0) [link] Novak, L., Malinakova, K., Tavel, P., & Sandora, J. (2021). Czech Version of the short Overall Anxiety Severity and Impairment Scale (OASIS) and the Overall Depression Severity and Impairment Scale (ODSIS): Psychometric Properties and Evaluation.
Daily Spiritual Experience (CC BY 4.0) [link] Novak, L., Malinakova, K., Tavel, P., & Sandora, J. (2021). Czech Version of the short Overall Anxiety Severity and Impairment Scale (OASIS) and the Overall Depression Severity and Impairment Scale (ODSIS): Psychometric Properties and Evaluation.
Positive and Negative Affect Schedules (CC BY 4.0) [link] Novak, L., Malinakova, K., Tavel, P., & Sandora, J. (2021). Czech Version of the short Overall Anxiety Severity and Impairment Scale (OASIS) and the Overall Depression Severity and Impairment Scale (ODSIS): Psychometric Properties and Evaluation.
Rosenberg Self-Esteem Scale (CC BY 4.0) [link] Novak, L., Malinakova, K., Tavel, P., & Sandora, J. (2021). Czech Version of the short Overall Anxiety Severity and Impairment Scale (OASIS) and the Overall Depression Severity and Impairment Scale (ODSIS): Psychometric Properties and Evaluation.
Author recognition test (DART) (CC BY-NC-SA 4.0) [link] Brysbaert, M., Sui, L., Dirix, N., & Hintz, F. (2020). Dutch Author Recognition Test. Journal of Cognition, 3(1), 6. https://doi.org/10.5334/joc.95
Author recognition test (DART) (CC BY-NC-SA 4.0) [link] Brysbaert, M., Sui, L., Dirix, N., & Hintz, F. (2020). Dutch Author Recognition Test. Journal of Cognition, 3(1), 6. https://doi.org/10.5334/joc.95
Ratings of human body movements averaged across raters on four dimensions (CC-By Attribution 4.0 International) [link] Zhang, M., Yu, L., Zhang, K., Du, B., Zhan, B., Jia, S., … & Luo, W. (2023). Construction and validation of the Dalian emotional movement open-source set (DEMOS). Behavior Research Methods, 55(5), 2353-2366.
Imagery comparisons task (MIT License) [link] Suggate, S.P. Beyond self-report: Measuring visual, auditory, and tactile mental imagery using a mental comparison task. Behav Res 56, 8658–8676 (2024). https://doi.org/10.3758/s13428-024-02496-z
Plymouth Sensory Imagery Questionnaire (MIT License) [link] Suggate, S.P. Beyond self-report: Measuring visual, auditory, and tactile mental imagery using a mental comparison task. Behav Res 56, 8658–8676 (2024). https://doi.org/10.3758/s13428-024-02496-z
Spontaneous Use of Imagery Scale (MIT License) [link] Suggate, S.P. Beyond self-report: Measuring visual, auditory, and tactile mental imagery using a mental comparison task. Behav Res 56, 8658–8676 (2024). https://doi.org/10.3758/s13428-024-02496-z
Inventory of Mindfulness (GNU Lesser General Public License (LGPL) 3.0) [link] Puga, J. L., García, M. S., Moya-Faz, F. J., FJ Moya-Faz, & Ruiz-Ruano, A. M. (2022, February 24). Datos brutos del Inventario Friburgo de Mindfulness. Retrieved from osf.io/ymj6u
German Version of the Emotion Regulation Questionnaire-Short Form - Deal with Things in Life Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Distrust Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Emotion Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Information Acquisition Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Identity Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Moral Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Staying Safe & Compliance Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Stress Related Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Perceived Support Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Trust Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
German Version of the Emotion Regulation Questionnaire-Short Form - Vaccine Subscale (CC-By Attribution 4.0 International) [link] Sahm, A. H. J., Burghart, M., & Mier, D. (2024, October 21). Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples. https://doi.org/10.17605/OSF.IO/N26MB
Rosenberg Self-Esteem Scale (CC-By Attribution 4.0 International) [link] Bulut, O., Gorgun, G., & Yildirim-Erbasli, S. N. (2021). Estimating explanatory extensions of dichotomous and polytomous Rasch models: The eirm package in R. Psych, 3(3), 308-321.
Mental Health Increase Willingness Questionnaire (CC BY 4.0) [link] Lacey, L., Mishra, N., Mukherjee, P., Prakash, N., Prakash, N., Quinn, D., Sabarwal, S., & Saraswat, D. (2024). Can destigmatizing mental health increase willingness to seek help? Experimental evidence from Nepal. Journal of Policy Analysis and Management, 1–28. https://doi.org/10.1002/pam.22643
Mental Health Increase Willingness Questionnaire (CC BY 4.0) [link] Lacey, L., Mishra, N., Mukherjee, P., Prakash, N., Prakash, N., Quinn, D., Sabarwal, S., & Saraswat, D. (2024). Can destigmatizing mental health increase willingness to seek help? Experimental evidence from Nepal. Journal of Policy Analysis and Management, 1–28. https://doi.org/10.1002/pam.22643

Communication Skills (CC0 1.0) [link] Chen, K. C. J., Bartman, I., Pugh, D., Topps, D., Desjardins, I., Forgie, M., & Archibald, D. (2023). Experience of introducing an electronic health records station in an objective structured clinical examination to evaluate medical students’ communication skills in Canada: a descriptive study. Journal of Educational Evaluation for Health Professions, 20, 22-22.

Kuan-chin Jean Chen; Ilona Bartman; Debra Pugh; David Topps; Isabelle Desjardins; Melissa Forgie; Douglas Archibald, 2023, “Experience of introducing an electronic health records station in an objective structured clinical examination to evaluate medical students’ communication skills in Canada: a descriptive study”, https://doi.org/10.7910/DVN/IFMDCC, Harvard Dataverse, V1
European Obesity Academy Questionnaire (CC0 1.0) [link] Panse Silveira, Paulo Sergio, 2024, “A Tutorial on Systematic Methodology for Psychometric Model Selection: Case Study of the EOAQ-EST”, https://doi.org/10.7910/DVN/FCBOGB, Harvard Dataverse, V2
Everyday Wellbeing Appraisal Scale (CC-By Attribution 4.0 International) [link] Sanford, K., & Elkins, G. (2024). The Everyday Wellbeing Appraisal Scale: Assessing a type of subjective well-being uniquely associated with health behavior in people with hypertension. Psychological Assessment.
Flourishing Scale (CC-By Attribution 4.0 International) [link] Sanford, K., & Elkins, G. (2024). The Everyday Wellbeing Appraisal Scale: Assessing a type of subjective well-being uniquely associated with health behavior in people with hypertension. Psychological Assessment.
The English Language Learner Insight, Proficiency and Skills Evaluation (ELLIPSE) (CC BY-NC-SA 4.0) [link] Crossley, S. A., Tian, Y., Baffour, P., Franklin, A., Kim, Y., Morris, W., Benner, B., Picou, A., & Boser, U. (2023). Measuring second language proficiency using the English Language Learner Insight, Proficiency and Skills Evaluation (ELLIPSE) Corpus. International Journal of Learner Corpus Research, 9 (2), 248-269.

Family Adaptability and Cohesion Evaluation Scale Package (FACES IV). (CC0 1.0) [link] María Isabel Vegas, 2022, “FACES IV Package for Spanish Adolescents”, https://doi.org/10.7910/DVN/UA5GTO, Harvard Dataverse, V2

Vegas, M. I., Mateos-Agut, M., Pineda-Otaola, P. J., & Sebastián-Vega, C. (2022). Psychometric properties of the FACES IV package for Spanish adolescents. Psicologia: Reflexão e Crítica, 35, 18.

family satisfaction scale (fss) (CC0 1.0) [link] María Isabel Vegas, 2022, “FACES IV Package for Spanish Adolescents”, https://doi.org/10.7910/DVN/UA5GTO, Harvard Dataverse, V2

Vegas, M. I., Mateos-Agut, M., Pineda-Otaola, P. J., & Sebastián-Vega, C. (2022). Psychometric properties of the FACES IV package for Spanish adolescents. Psicologia: Reflexão e Crítica, 35, 18.

Reports of disease/conditions (CC0 1.0) [link] Yount, S. E., Choi, S. W., Victorson, D., Ruo, B., Cella, D., Anton, S., & Hamilton, A. (2011). Brief, valid measures of dyspnea and related functional limitations in chronic obstructive pulmonary disease (COPD). Value in Health, 14(2), 307-315.

Yount, Susan, 2021, “FACIT Dyspnea (PROMIS Dyspnea)”, https://doi.org/10.7910/DVN/IBFK5H, Harvard Dataverse, V1, UNF:6:92iWO0lCj/LjVjEYn6rQlg== [fileUNF]

Shortness of breath scale (CC0 1.0) [link] Yount, S. E., Choi, S. W., Victorson, D., Ruo, B., Cella, D., Anton, S., & Hamilton, A. (2011). Brief, valid measures of dyspnea and related functional limitations in chronic obstructive pulmonary disease (COPD). Value in Health, 14(2), 307-315.

Yount, Susan, 2021, “FACIT Dyspnea (PROMIS Dyspnea)”, https://doi.org/10.7910/DVN/IBFK5H, Harvard Dataverse, V1, UNF:6:92iWO0lCj/LjVjEYn6rQlg== [fileUNF]

Depression scale (CC0 1.0) [link] Yount, S. E., Choi, S. W., Victorson, D., Ruo, B., Cella, D., Anton, S., & Hamilton, A. (2011). Brief, valid measures of dyspnea and related functional limitations in chronic obstructive pulmonary disease (COPD). Value in Health, 14(2), 307-315.

Yount, Susan, 2021, “FACIT Dyspnea (PROMIS Dyspnea)”, https://doi.org/10.7910/DVN/IBFK5H, Harvard Dataverse, V1, UNF:6:92iWO0lCj/LjVjEYn6rQlg== [fileUNF]

Functional limitations (CC0 1.0) [link] Yount, S. E., Choi, S. W., Victorson, D., Ruo, B., Cella, D., Anton, S., & Hamilton, A. (2011). Brief, valid measures of dyspnea and related functional limitations in chronic obstructive pulmonary disease (COPD). Value in Health, 14(2), 307-315.

Yount, Susan, 2021, “FACIT Dyspnea (PROMIS Dyspnea)”, https://doi.org/10.7910/DVN/IBFK5H, Harvard Dataverse, V1, UNF:6:92iWO0lCj/LjVjEYn6rQlg== [fileUNF]
Free will and determinism scale (CC-By Attribution 4.0 International) [link] Goto, T. (2021). Comparing the Psychometric Properties of Two Japanese-Translated Scales of the Free Will and Determinism-Plus Scale. Frontiers in Psychology, 12, 720601.
Money knowledge amongst children (CC-By Attribution 4.0 International) [link] Podsiadłowski, W., Trzcińska, A., Golus, P., & Wieleszczyk, J. (2024). Family economic deprivation and self-esteem among preschoolers. Journal of Experimental Child Psychology, 246, 106013.
Relative deprevation amongst children (CC-By Attribution 4.0 International) [link] Podsiadłowski, W., Trzcińska, A., Golus, P., & Wieleszczyk, J. (2024). Family economic deprivation and self-esteem among preschoolers. Journal of Experimental Child Psychology, 246, 106013.
Self-esteem amongst children (CC-By Attribution 4.0 International) [link] Podsiadłowski, W., Trzcińska, A., Golus, P., & Wieleszczyk, J. (2024). Family economic deprivation and self-esteem among preschoolers. Journal of Experimental Child Psychology, 246, 106013.
Material and social deprevation amongst children (CC-By Attribution 4.0 International) [link] Podsiadłowski, W., Trzcińska, A., Golus, P., & Wieleszczyk, J. (2024). Family economic deprivation and self-esteem among preschoolers. Journal of Experimental Child Psychology, 246, 106013.
Female genital self-image (CC BY 4.0) [link] NA
Pragmatic Quality (PQ), Hedonic Quality - Identification (HQ-I), Hedonic Quality - Stimulation (HQ-S), and Attractiveness (ATT) (CC 4.0) [link] Perrig, S. A. C., Scharowski, N., Brühlmann, F., von Felten, N., & Aeschbach, L. F. (2024, January 24). Independent Validation of the Player Experience Inventory. https://doi.org/10.17605/OSF.IO/8XUHR
Intrinsic Motivation Inventory (CC 4.0) [link] Perrig, S. A. C., Scharowski, N., Brühlmann, F., von Felten, N., & Aeschbach, L. F. (2024, January 24). Independent Validation of the Player Experience Inventory. https://doi.org/10.17605/OSF.IO/8XUHR
Player Experience of Need Satisfaction (CC 4.0) [link] Perrig, S. A. C., Scharowski, N., Brühlmann, F., von Felten, N., & Aeschbach, L. F. (2024, January 24). Independent Validation of the Player Experience Inventory. https://doi.org/10.17605/OSF.IO/8XUHR
Player Experience Inventory (CC 4.0) [link] Perrig, S. A. C., Scharowski, N., Brühlmann, F., von Felten, N., & Aeschbach, L. F. (2024, January 24). Independent Validation of the Player Experience Inventory. https://doi.org/10.17605/OSF.IO/8XUHR
Florida Patient Acceptance Survey (CC 1.0) [link] Regina da Silva, Katia, 2022, “Patient acceptance of implantable cardioverter-defibrillator: initial psychometric investigation of the Florida Patient Acceptance Survey”, https://doi.org/10.7910/DVN/3UHKUM, Harvard Dataverse, V1, UNF:6:Rtx4oa3RVyirJaBT4dygow== [fileUNF]

Feeling heard scale (CC0 1.0) [link] Roos, C. A., Postmes, T., & Koudenburg, N. (2023). Feeling heard: Operationalizing a key concept for social relations. Plos one, 18(11), e0292865.

Roos, Carla; Postmes, Tom; Koudenburg, Namkje, 2022, “Feeling heard: Operationalizing a key concept for social relations”, https://doi.org/10.34894/IHNKUN, DataverseNL, V2

Feeling heard scale (CC0 1.0) [link] Roos, C. A., Postmes, T., & Koudenburg, N. (2023). Feeling heard: Operationalizing a key concept for social relations. Plos one, 18(11), e0292865.

Roos, Carla; Postmes, Tom; Koudenburg, Namkje, 2022, “Feeling heard: Operationalizing a key concept for social relations”, https://doi.org/10.34894/IHNKUN, DataverseNL, V2
Author recognition test (GART) (CC-By Attribution 4.0 International) [link] Grolig, L., Tiffin-Richards, S. P., & Schroeder, S. (2020). Print exposure across the reading span. Reading and Writing, 33, 1423–1441.
Globa belief in a just world scale (CC-By Attribution 4.0 International) [link] Goto, T. (2021). Comparing the Psychometric Properties of Two Japanese-Translated Scales of the Free Will and Determinism-Plus Scale. Frontiers in Psychology, 12, 720601.
Coping scale asked of refugees (CC-By Attribution 4.0 International) [link] Le Roch, K., Bubendorff, P., Rahaman, K. S., Clouin, L., Lasater, M., Tonon, B., … Nguyen, A. (2024, May 15). Supervision and training to support implementation of a flexible psychosocial support program for refugee mothers and babies: A case study of Baby Friendly Spaces in Cox’s Bazar, Bangladesh. https://doi.org/10.31219/osf.io/vq3ty
International Depression Symptom Scale (IDSS) asked of refugees (CC-By Attribution 4.0 International) [link] Le Roch, K., Bubendorff, P., Rahaman, K. S., Clouin, L., Lasater, M., Tonon, B., … Nguyen, A. (2024, May 15). Supervision and training to support implementation of a flexible psychosocial support program for refugee mothers and babies: A case study of Baby Friendly Spaces in Cox’s Bazar, Bangladesh. https://doi.org/10.31219/osf.io/vq3ty
KESS depression scale in last 2 weeks asked of refugees (CC-By Attribution 4.0 International) [link] Le Roch, K., Bubendorff, P., Rahaman, K. S., Clouin, L., Lasater, M., Tonon, B., … Nguyen, A. (2024, May 15). Supervision and training to support implementation of a flexible psychosocial support program for refugee mothers and babies: A case study of Baby Friendly Spaces in Cox’s Bazar, Bangladesh. https://doi.org/10.31219/osf.io/vq3ty
Life satisfaction asked of refugees (CC-By Attribution 4.0 International) [link] Le Roch, K., Bubendorff, P., Rahaman, K. S., Clouin, L., Lasater, M., Tonon, B., … Nguyen, A. (2024, May 15). Supervision and training to support implementation of a flexible psychosocial support program for refugee mothers and babies: A case study of Baby Friendly Spaces in Cox’s Bazar, Bangladesh. https://doi.org/10.31219/osf.io/vq3ty
Difficulties due to health conditions asked of refugees (CC-By Attribution 4.0 International) [link] Le Roch, K., Bubendorff, P., Rahaman, K. S., Clouin, L., Lasater, M., Tonon, B., … Nguyen, A. (2024, May 15). Supervision and training to support implementation of a flexible psychosocial support program for refugee mothers and babies: A case study of Baby Friendly Spaces in Cox’s Bazar, Bangladesh. https://doi.org/10.31219/osf.io/vq3ty

Anxiety amongst sick-listed employees (CC0 1.0) [link] van Eersel, J. H., Hulshof, I. L., Wickham, M. I., Smid, G. E., & Boelen, P. A. (2024). Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale. BMC psychology, 12(1), 118.

van Eersel, Janske; Hulshof, Inge; Wickham, Miriam; Smid, Geert; Boelen, Paul, 2024, “Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale”, https://doi.org/10.34894/FDDFTJ, DataverseNL, V1

Denial amongst sick-listed employees (CC0 1.0) [link] van Eersel, J. H., Hulshof, I. L., Wickham, M. I., Smid, G. E., & Boelen, P. A. (2024). Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale. BMC psychology, 12(1), 118.

van Eersel, Janske; Hulshof, Inge; Wickham, Miriam; Smid, Geert; Boelen, Paul, 2024, “Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale”, https://doi.org/10.34894/FDDFTJ, DataverseNL, V1

Depression amongst amongst sick-listed employees (CC0 1.0) [link] van Eersel, J. H., Hulshof, I. L., Wickham, M. I., Smid, G. E., & Boelen, P. A. (2024). Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale. BMC psychology, 12(1), 118.

van Eersel, Janske; Hulshof, Inge; Wickham, Miriam; Smid, Geert; Boelen, Paul, 2024, “Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale”, https://doi.org/10.34894/FDDFTJ, DataverseNL, V1

Investigating Choice Experiments Capability amongst sick-listed employees (CC0 1.0) [link] van Eersel, J. H., Hulshof, I. L., Wickham, M. I., Smid, G. E., & Boelen, P. A. (2024). Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale. BMC psychology, 12(1), 118.

van Eersel, Janske; Hulshof, Inge; Wickham, Miriam; Smid, Geert; Boelen, Paul, 2024, “Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale”, https://doi.org/10.34894/FDDFTJ, DataverseNL, V1

Imminent job loss scale amongst sick-listed employees (CC0 1.0) [link] van Eersel, J. H., Hulshof, I. L., Wickham, M. I., Smid, G. E., & Boelen, P. A. (2024). Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale. BMC psychology, 12(1), 118.

van Eersel, Janske; Hulshof, Inge; Wickham, Miriam; Smid, Geert; Boelen, Paul, 2024, “Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale”, https://doi.org/10.34894/FDDFTJ, DataverseNL, V1

Intolerance of Uncertainty Scale amongst sick-listed employees (CC0 1.0) [link] van Eersel, J. H., Hulshof, I. L., Wickham, M. I., Smid, G. E., & Boelen, P. A. (2024). Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale. BMC psychology, 12(1), 118.

van Eersel, Janske; Hulshof, Inge; Wickham, Miriam; Smid, Geert; Boelen, Paul, 2024, “Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale”, https://doi.org/10.34894/FDDFTJ, DataverseNL, V1

Optimism amongst sick-listed employees (CC0 1.0) [link] van Eersel, J. H., Hulshof, I. L., Wickham, M. I., Smid, G. E., & Boelen, P. A. (2024). Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale. BMC psychology, 12(1), 118.

van Eersel, Janske; Hulshof, Inge; Wickham, Miriam; Smid, Geert; Boelen, Paul, 2024, “Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale”, https://doi.org/10.34894/FDDFTJ, DataverseNL, V1

Work centrality, UWES, and commitment amongst sick-listed employees (CC0 1.0) [link] van Eersel, J. H., Hulshof, I. L., Wickham, M. I., Smid, G. E., & Boelen, P. A. (2024). Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale. BMC psychology, 12(1), 118.

van Eersel, Janske; Hulshof, Inge; Wickham, Miriam; Smid, Geert; Boelen, Paul, 2024, “Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale”, https://doi.org/10.34894/FDDFTJ, DataverseNL, V1

Pornography Craving Questionnaire (CC0 1.0) [link] Kim, S. R., Bhang, S. Y., Lim, E. Y., Huh, S., Lee, S. K., Kraus, S. W., & Potenza, M. N. (2021). Reliability, validity, and unidimensionality of the korean version of the pornography craving questionnaire based on the classical test theory and item response theory. Psychiatry Investigation, 18(6), 530.

Huh, Sun, 2022, “Reliability and Validity of the Korean version of the Pornography Craving Questionnaire (K-PCQ) Based on the Classical Test Theory and Item Response Theory”, https://doi.org/10.7910/DVN/SHCUI4, Harvard Dataverse, V1, UNF:6:VPKw8BmFFoIUfDmw64VHVA== [fileUNF]

Knowledge for Teaching Early Elementary Mathematics (K-TEEM) (CC-By Attribution 4.0 International) [link] Schoen, R. C., Yang, X., & Solmaz, G. (2021). Psychometric report for the 2019 Knowledge for Teaching Early Elementary Mathematics (K-TEEM) test (2021-04). Florida State University. https://doi.org/http://dx.doi.org/10.33009/lsi.1620243057

Schoen, R. C., Bray, W., Wolfe, C., Tazaz, A. M., & Nielsen, L. (2017). Developing an assessment instrument to measure early elementary teachers’ mathematical knowledge for teaching. The Elementary School Journal, 118(1), 55–81. https://doi.org/10.1086/692912
Online Assessment of Handwriting and Spelling: OAHaS (CC 4.0) [link] Inoue, T., Chen, Y., & Ohyanagi, T. (2024, June 19). Assessing Handwriting Skills in a Web Browser: Development and Validation of an Automated Online Test in Japanese Kanji. Retrieved from osf.io/gver2

50 case-based items for Korean Nursing Licensing Examination (CC 1.0) [link] Park, I. S., Suh, Y. O., Park, H. S., Kang, S. Y., Kim, K. S., Kim, G. H., … & Kim, H. J. (2017). Item development process and analysis of 50 case-based items for implementation on the Korean Nursing Licensing Examination. Journal of Educational Evaluation for Health Professions, 14.

In Sook Park; Yeon Ok Suh; Hae Sook Park; So Young Kang; Kwang Sung Kim; Gyung Hee Kim; Yeon-Hee Choi; Hyun- Ju Kim, 2017, “Item development process and analysis of 50 case-based items for implementation on the Korean Nursing Licensing Examination”, https://doi.org/10.7910/DVN/ECDLXG, Harvard Dataverse, V1, UNF:6:shNzwVl94qevZqMWdC/njw== [fileUNF]
Locus of control scale (CC-By Attribution 4.0 International) [link] Goto, T. (2021). Comparing the Psychometric Properties of Two Japanese-Translated Scales of the Free Will and Determinism-Plus Scale. Frontiers in Psychology, 12, 720601.
Online and paper forms of the Launay-Slade Hallucinations scale (CC-By Attribution 4.0 International) [link] Quijada, Y., Saldivia, S., Bustos, C. et al. Measurement invariance between online and paper-and-pencil formats of the Launay-Slade Hallucinations scale-extended (LSHS-E) in the Chilean population. Curr Psychol 42, 13625–13636 (2023). https://doi.org/10.1007/s12144-021-02497-7
Depression and Generalized Anxiety Scales rated by frequency (CC BY 4.0) [link] Niileksela, C. R., & Jones, N. B. (2023). Measurement Equality of Frequency and Severity Item Response Options on Depression and Generalized Anxiety Scales. Assessment, 30(6), 2016-2028.
Depression and Generalized Anxiety Scales rated by severity (CC BY 4.0) [link] Niileksela, C. R., & Jones, N. B. (2023). Measurement Equality of Frequency and Severity Item Response Options on Depression and Generalized Anxiety Scales. Assessment, 30(6), 2016-2028.
Male Genital Self-image Scale, Gynaecologic Cancer Lymphedema Questionnaire (CC-By Attribution 4.0 International) [link] Hollyhead, C., & Branney, P. (2018, December 10). Assessing the validity of the Male Genital Self-Image Scale and the Gynaecologic Cancer Lymphedema Questionnaire in a UK population of healthy males over forty. https://doi.org/10.17605/OSF.IO/5VHJU

Varieties of Democracy Indicators, Global Media Freedom, Reporter Without Border (CC 1.0) [link] Solis, J. A., & Waggoner, P. D. (2021). Measuring media freedom: An Item Response Theory analysis of existing indicators. British Journal of Political Science, 51(4), 1685-1704.

Solis, Jonathan A.; Philip D. Waggoner, 2020, “Replication Data for: Measuring Media Freedom: An Item Response Theory Analysis of Existing Indicators”, https://doi.org/10.7910/DVN/ENOEQS, Harvard Dataverse, V2, UNF:6:WzyMuN1CB0555+S4J+2zCQ== [fileUNF]
Lexical decisions tasks from Mturkers (CC BY 4.0) [link] Ratcliff, R., Hendrickson, A.T. Do data from mechanical Turk subjects replicate accuracy, response time, and diffusion modeling results?. Behav Res 53, 2302–2325 (2021). https://doi.org/10.3758/s13428-021-01573-x
Item recognition tasks from Mturkers (CC BY 4.0) [link] Ratcliff, R., Hendrickson, A.T. Do data from mechanical Turk subjects replicate accuracy, response time, and diffusion modeling results?. Behav Res 53, 2302–2325 (2021). https://doi.org/10.3758/s13428-021-01573-x

Academic Motivation Scale (CC0 1.0) [link] Ribeiro, M. F., Saraiva, V., Pereira, P., & Ribeiro, C. (2019). Academic Motivation Scale: Validity in Portuguese Public Higher Education/Escala de Motivacao Academica: Validacao no Ensino Superior Publico Portugues. RAC-Revista de Administracao Contemporanea, 23(3), 288-311.

Ribeiro, M.F.; Saraiva, V.; Pereira, P.; Ribeiro, C., 2019, “Replication Data for: Academic Motivation Scale: Validity in Portuguese Public Higher Education”, https://doi.org/10.7910/DVN/KWTMWT, Harvard Dataverse, V1, UNF:6:Q/6Sa/GXyRr6geeedbpt/w== [fileUNF]
Actively Open-minded Thinking Scale(AOT) (CC BY 4.0) [link] Siwiak, A., Buczel, K. A., Rabińska, W., & Szpitalak, M. (2024). New Age of measuring paranormal and related beliefs: Psychometric properties and correlates of the Polish version of the Survey of Scientifically Unaccepted Beliefs (SSUB).
Bullshit Receptivity Scale–shortened version (BSR_10) (CC BY 4.0) [link] Siwiak, A., Buczel, K. A., Rabińska, W., & Szpitalak, M. (2024). New Age of measuring paranormal and related beliefs: Psychometric properties and correlates of the Polish version of the Survey of Scientifically Unaccepted Beliefs (SSUB).
Dissociative Experiences Scale–Revised (DES-R-PL) (CC BY 4.0) [link] Siwiak, A., Buczel, K. A., Rabińska, W., & Szpitalak, M. (2024). New Age of measuring paranormal and related beliefs: Psychometric properties and correlates of the Polish version of the Survey of Scientifically Unaccepted Beliefs (SSUB).
Generic Conspiracist Beliefs Scale(GCBS) (CC BY 4.0) [link] Siwiak, A., Buczel, K. A., Rabińska, W., & Szpitalak, M. (2024). New Age of measuring paranormal and related beliefs: Psychometric properties and correlates of the Polish version of the Survey of Scientifically Unaccepted Beliefs (SSUB).
Kon-2066 (CC BY 4.0) [link] Siwiak, A., Buczel, K. A., Rabińska, W., & Szpitalak, M. (2024). New Age of measuring paranormal and related beliefs: Psychometric properties and correlates of the Polish version of the Survey of Scientifically Unaccepted Beliefs (SSUB).
Kwestionariusz Otwartości Przekonań(KOP20) (CC BY 4.0) [link] Siwiak, A., Buczel, K. A., Rabińska, W., & Szpitalak, M. (2024). New Age of measuring paranormal and related beliefs: Psychometric properties and correlates of the Polish version of the Survey of Scientifically Unaccepted Beliefs (SSUB).
NEO Five Factor Inventory(NEO-FFI) (CC BY 4.0) [link] Siwiak, A., Buczel, K. A., Rabińska, W., & Szpitalak, M. (2024). New Age of measuring paranormal and related beliefs: Psychometric properties and correlates of the Polish version of the Survey of Scientifically Unaccepted Beliefs (SSUB).
Survey of Scientifically Unaccepted Beliefs(SSUB) (CC BY 4.0) [link] Siwiak, A., Buczel, K. A., Rabińska, W., & Szpitalak, M. (2024). New Age of measuring paranormal and related beliefs: Psychometric properties and correlates of the Polish version of the Survey of Scientifically Unaccepted Beliefs (SSUB).
Data from the Narcissistic Admiration and Rivalry Questionnaire (NARQ) along with Rosenberg self-esteem (RSE) and Multigroup Ethnic Identity Measure (MEIM). (NA) [link] Chou, E., Westberg, D. W., Nguyen, P. L., & Syed, M. (2023, October 28). The Structure and Correlates of the Narcissistic Admiration and Rivalry Questionnaire among U.S. Racial/Ethnic Groups. https://doi.org/10.31234/osf.io/w3rxe

Readiness for a flipped classroom (CC0 1.0) [link] Youhasan, P., Chen, Y., Lyndon, M., & Henning, M. A. (2020). Development and validation of a measurement scale to assess nursing students’ readiness for the flipped classroom in Sri Lanka. J Educ Eval Health Prof, 17(17), 41.

Punithalingam Youhasan; Yan Chen; Mataroria Lyndon; Marcus A. Henning, 2021, “Development and validation of a measurement scale to assess nursing students’ readiness for the flipped classroom in Sri Lanka”, https://doi.org/10.7910/DVN/IKRPCP, Harvard Dataverse, V1, UNF:6:RmpHNnbxAik/0KZcpx54Rg== [fileUNF]

Objective Structured Clinical Examination (CC0 1.0) [link] Sara Mortaz Hejri; Mohammad Jalili, 2017, “Sequential OSCE based on item response theory”, https://doi.org/10.7910/DVN/VG1AJW, Harvard Dataverse, V1, UNF:6:hhgw2XGm0F6hA5ZXukFR8w== [fileUNF]

Hejri, S. M., & Jalili, M. (2017). Sequential Objective Structured Clinical Examination based on item response theory in Iran. Journal of Educational Evaluation for Health Professions, 14.
Attentional Control Scale (CC 4.0) [link] Schubert, A.-L., Frischkorn, G. T., Sadus, K., Welhaf, M., Kane, M. J., & Rummel, J. (2024, June 13). Online Supplement: The brief mind wandering three-factor scale. Retrieved from osf.io/mxn3v
Brief Mind Wandering Three-Factor Scale (CC 4.0) [link] Schubert, A.-L., Frischkorn, G. T., Sadus, K., Welhaf, M., Kane, M. J., & Rummel, J. (2024, June 13). Online Supplement: The brief mind wandering three-factor scale. Retrieved from osf.io/mxn3v
Cognitive Emotion-Regulation Questionnaire (CC 4.0) [link] Schubert, A.-L., Frischkorn, G. T., Sadus, K., Welhaf, M., Kane, M. J., & Rummel, J. (2024, June 13). Online Supplement: The brief mind wandering three-factor scale. Retrieved from osf.io/mxn3v
Deliberate Mind Wandering (CC 4.0) [link] Schubert, A.-L., Frischkorn, G. T., Sadus, K., Welhaf, M., Kane, M. J., & Rummel, J. (2024, June 13). Online Supplement: The brief mind wandering three-factor scale. Retrieved from osf.io/mxn3v
International Personality Item Pool (CC 4.0) [link] Schubert, A.-L., Frischkorn, G. T., Sadus, K., Welhaf, M., Kane, M. J., & Rummel, J. (2024, June 13). Online Supplement: The brief mind wandering three-factor scale. Retrieved from osf.io/mxn3v
Mindful Attention Awareness Scale (CC 4.0) [link] Schubert, A.-L., Frischkorn, G. T., Sadus, K., Welhaf, M., Kane, M. J., & Rummel, J. (2024, June 13). Online Supplement: The brief mind wandering three-factor scale. Retrieved from osf.io/mxn3v
Spontaneous Mind Wandering (CC 4.0) [link] Schubert, A.-L., Frischkorn, G. T., Sadus, K., Welhaf, M., Kane, M. J., & Rummel, J. (2024, June 13). Online Supplement: The brief mind wandering three-factor scale. Retrieved from osf.io/mxn3v
Perceptions of Bilingualism Scales (CC-By Attribution 4.0 International) [link] Luk, G., & Surrain, S. (2019). The perceptions of bilingualism scales. https://osf.io/preprints/psyarxiv/s32zb
The Brief Wisdom Screening Scale (CC 4.0) [link] Qiu, T. T., & Minda, J. P. (2023, April 9). Psychedelic Experience and Mindfulness are Associated with Improved Wellbeing. https://doi.org/10.17605/OSF.IO/PH6KS
Depression Anxiety and Stress Scale (CC 4.0) [link] Qiu, T. T., & Minda, J. P. (2023, April 9). Psychedelic Experience and Mindfulness are Associated with Improved Wellbeing. https://doi.org/10.17605/OSF.IO/PH6KS
Five Facet Mindfulness Questionnaire (CC 4.0) [link] Qiu, T. T., & Minda, J. P. (2023, April 9). Psychedelic Experience and Mindfulness are Associated with Improved Wellbeing. https://doi.org/10.17605/OSF.IO/PH6KS
Mystical Experience Questionnaire (CC 4.0) [link] Qiu, T. T., & Minda, J. P. (2023, April 9). Psychedelic Experience and Mindfulness are Associated with Improved Wellbeing. https://doi.org/10.17605/OSF.IO/PH6KS
The Meaning in Life Questionnaire (CC 4.0) [link] Qiu, T. T., & Minda, J. P. (2023, April 9). Psychedelic Experience and Mindfulness are Associated with Improved Wellbeing. https://doi.org/10.17605/OSF.IO/PH6KS
The Positive and Negative Affect Schedule (CC 4.0) [link] Qiu, T. T., & Minda, J. P. (2023, April 9). Psychedelic Experience and Mindfulness are Associated with Improved Wellbeing. https://doi.org/10.17605/OSF.IO/PH6KS
The Satisfaction with Life Scale (CC 4.0) [link] Qiu, T. T., & Minda, J. P. (2023, April 9). Psychedelic Experience and Mindfulness are Associated with Improved Wellbeing. https://doi.org/10.17605/OSF.IO/PH6KS

NA (NA) [link] Kubicka, K., Trzcińska, A., & Gambin, M. (2024). Psychometric evaluation of the Polish adaptation of the Body Appreciation Scale-2 for Children (BAS-2C). Plos one, 19(9), e0309945.

Kubicka, Karolina, 2024, “Psychometric evaluation of the Polish adaptation of the Body Appreciation Scale-2 for Children (BAS-2C)”, https://doi.org/10.7910/DVN/LGXP5A, Harvard Dataverse, V1, UNF:6:vFlkIS3VBAOn7UQPD/CWZw== [fileUNF]
Material Values Scale for Children (CC-By Attribution 4.0 International) [link] Trzcińska, A., Kubicka, K., & Podsiadłowski, W. (2023). The construction and preliminary validation of a new Pictorial Materialism Test for 4–6-year-old children. Plos one, 18(8), e0290512.
Pictorial Materialism Test (CC-By Attribution 4.0 International) [link] Trzcińska, A., Kubicka, K., & Podsiadłowski, W. (2023). The construction and preliminary validation of a new Pictorial Materialism Test for 4–6-year-old children. Plos one, 18(8), e0290512.
Shortened Happiness Scale (CC-By Attribution 4.0 International) [link] Trzcińska, A., Kubicka, K., & Podsiadłowski, W. (2023). The construction and preliminary validation of a new Pictorial Materialism Test for 4–6-year-old children. Plos one, 18(8), e0290512.
The Brief Multidimensional Student’s Life Satisfaction Scale (EBSV_df) (CC0 1.0 Universal) [link] Inman, R. A., Costa, P. J., & Moreira, P. A. (2023). Psychometric Properties of the Portuguese Adolescent Students’ Basic Psychological Needs at School Scale (ASBPNSS) and Evidence of Differential Associations With Indicators of Subjective Wellbeing. Journal of psychoeducational assessment, 41(1), 100-119.
The Adolescent Student Basic Psychological Need Satisfaction Scale (CC0 1.0 Universal) [link] Inman, R. A., Costa, P. J., & Moreira, P. A. (2023). Psychometric Properties of the Portuguese Adolescent Students’ Basic Psychological Needs at School Scale (ASBPNSS) and Evidence of Differential Associations With Indicators of Subjective Wellbeing. Journal of psychoeducational assessment, 41(1), 100-119.
The Positive and Negative Affect Schedule(PANAS_df) (CC0 1.0 Universal) [link] Inman, R. A., Costa, P. J., & Moreira, P. A. (2023). Psychometric Properties of the Portuguese Adolescent Students’ Basic Psychological Needs at School Scale (ASBPNSS) and Evidence of Differential Associations With Indicators of Subjective Wellbeing. Journal of psychoeducational assessment, 41(1), 100-119.
Perceived Stress Scale (PSS-10) (CC BY 4.0) [link] Figalová, Nikol; Charvát, Miroslav (2021), “Psychometric Properties of the Perceived Stress Scale in an Adult Psychiatric Inpatient Sample: Dataset And the Analytic Script for R”, Mendeley Data, V1, doi: 10.17632/k8zk3xhcjf.1
Scientific Reasoning Scale (CC-By Attribution 4.0 International) [link] Caliciuri, R., & Lanz, M. (2024, August 2). Psychometric properties of the Scientific Reasoning Scale: application to the Italian context. Retrieved from osf.io/jk9dp
Five Facets Mindfulness Questionnaire (CC0 1.0 Universal) [link] Lecuona, O., García-Garzón, E., García-Rubio, C., & Rodríguez-Carvajal, R. (2020). A psychometric review and conceptual replication study of the Five Facets Mindfulness Questionnaire latent structure. Assessment, 27(5), 859-872.
PROMIS Physical Function - Short, PROMIS Physical Function - Upper Extermity, and Flexilevel Scale of Shoulder Function (CC 1.0) [link] Gershon, Richard; Kaat, Aaron, 2019, “PROMIS Physical Function Upper Extremity v2.0 Extension”, https://doi.org/10.7910/DVN/IHNIRH, Harvard Dataverse, V1, UNF:6:BsY5AJjLMU1s4Yw2kBRneg== [fileUNF]
PROMIS Pediatric Family Relationship Measures(Family Belonging + Family Involvement) (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Family Relationship Measures (Family Belonging + Family Involvement), proxy respondent (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Global Health (PGH-7) (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Global Health (PGH-7), proxy respondent (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Life Satisfaction (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Life Satisfaction, proxy respondent (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Meaning and Purpose (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMISE Pediatric Meaning and Purpose, proxy respondent (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Physical Activity and PROMIS Pediatric Physical Stress (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Physical Activity and PROMIS Pediatric Physical Stress, proxy respondent (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Positive Affect (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Positive Affect, proxy rsepondent (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Psychological Stress Experiences (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Psychological Stress Experiences, proxy respondent (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Strength Impact (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]
PROMIS Pediatric Strength Impact, proxy respondent (CC0 1.0) [link] Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., … & Forrest, C. B. (2017). Children’s family experiences: development of the PROMIS® pediatric family relationships measures. Quality of Life Research, 26(11), 3011-3023. Forrest, C. B., Devine, J., Bevans, K. B., Becker, B. D., Carle, A. C., Teneralli, R. E., … & Ravens-Sieberer, U. (2018). Development and psychometric evaluation of the PROMIS Pediatric Life Satisfaction item banks, child-report, and parent-proxy editions. Quality of Life Research, 27(1), 217-234. Forrest, C. B., Bevans, K. B., Pratiwadi, R., Moon, J., Teneralli, R. E., Minton, J. M., & Tucker, C. A. (2014). Development of the PROMIS® pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221-1231. Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., … & Bevans, K. B. (2018). Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. Journal of happiness studies, 19(3), 699-718. Bevans, K. B., Gardner, W., Pajer, K. A., Becker, B., Carle, A., Tucker, C. A., & Forrest, C. B. (2018). Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. Journal of pediatric psychology, 43(6), 678-692. Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS Pediatric Physical Activity Item Banks. Physical Therapy. Forrest, Christopher, 2021, “PROMIS Pediatric Measure Evaluation”, https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1, UNF:6:KR2sdwDQUHzX3hNzM+pZKA== [fileUNF]

Parasocial Interaction (PSI) Scale (CC0 1.0) [link] Hakim, M. (2018, December 13). Measuring the feeling of distant intimacy with politicians: Development, construct validity, and replicability of the parasocial relationship with a political figure (PSR-P) scale. https://doi.org/10.31234/osf.io/mcwsg

Hakim, Moh Abdul, 2018, “Measuring the feeling of distant intimacy with political figures across cultures: Development, construct validity, factor replicability, and measurement invariance of parasocial relationship with political figures (PSR-P) scale”, https://doi.org/10.7910/DVN/F3KS7M, Harvard Dataverse, V1

parasocial relationship with political figures (PSR-P) (CC0 1.0) [link] Hakim, M. (2018, December 13). Measuring the feeling of distant intimacy with politicians: Development, construct validity, and replicability of the parasocial relationship with a political figure (PSR-P) scale. https://doi.org/10.31234/osf.io/mcwsg

Hakim, Moh Abdul, 2018, “Measuring the feeling of distant intimacy with political figures across cultures: Development, construct validity, factor replicability, and measurement invariance of parasocial relationship with political figures (PSR-P) scale”, https://doi.org/10.7910/DVN/F3KS7M, Harvard Dataverse, V1

attitudes towards politics and authorities (CC0 1.0) [link] Hakim, M. (2018, December 13). Measuring the feeling of distant intimacy with politicians: Development, construct validity, and replicability of the parasocial relationship with a political figure (PSR-P) scale. https://doi.org/10.31234/osf.io/mcwsg

Hakim, Moh Abdul, 2018, “Measuring the feeling of distant intimacy with political figures across cultures: Development, construct validity, factor replicability, and measurement invariance of parasocial relationship with political figures (PSR-P) scale”, https://doi.org/10.7910/DVN/F3KS7M, Harvard Dataverse, V1
MicroFIN battery of comlex reasoning tasks from Latvian high school students (CC-By Attribution 4.0 International) [link] Kretzschmar, A., Hacatrjana, L., & Rascevska, M. (2017). Re-evaluating the psychometric properties of MicroFIN: A multidimensional measurement of complex problem solving or a unidimensional reasoning test?. Psychological Test and Assessment Modeling, 59(2), 157-182.
Ravens tasks from Latvian high school students (CC-By Attribution 4.0 International) [link] Kretzschmar, A., Hacatrjana, L., & Rascevska, M. (2017). Re-evaluating the psychometric properties of MicroFIN: A multidimensional measurement of complex problem solving or a unidimensional reasoning test?. Psychological Test and Assessment Modeling, 59(2), 157-182.
Quantitative and verbal reasoning tasks from Latvian high school students (CC-By Attribution 4.0 International) [link] Kretzschmar, A., Hacatrjana, L., & Rascevska, M. (2017). Re-evaluating the psychometric properties of MicroFIN: A multidimensional measurement of complex problem solving or a unidimensional reasoning test?. Psychological Test and Assessment Modeling, 59(2), 157-182.
Posttraumatic Cognitions Inventory in Chinese respondents (CC-By Attribution 4.0 International) [link] Zhan, N., Gao, C., Cao, Y., Li, F., & Geng, F. (2024). Factor structure, measurement invariance, and psychometric properties of the Posttraumatic Cognitions Inventory (PTCI) and its brief version (PTCI-9) in Chinese adolescents and adults. Psychological Assessment.
Santa Clara Brief Compassion Scale (CC BY 4.0) [link] Novak, L., Malinakova, K., Mikoska, P., Furstova, J., Cann, R., & Tavel, P. (2021). Psychometric evaluation of the Santa Clara brief compassion scale in the Czech environment (SCBCS). Mental health, religion & culture, 24(3), 294-305.
Daily Spiritual Experience Scale (CC BY 4.0) [link] Novak, L., Malinakova, K., Mikoska, P., Furstova, J., Cann, R., & Tavel, P. (2021). Psychometric evaluation of the Santa Clara brief compassion scale in the Czech environment (SCBCS). Mental health, religion & culture, 24(3), 294-305.

Scale for monitoring oral PrEP adherence (CC0 1.0) [link] Zissette, Seth; Tolley, Elizabeth E.; Martinez, Andres; Hanif, Homaira; Gill, Katherine; Mugo, Nelly; Myers, Laura; Casmir, Ednar; Duyver, Menna; Ngure, Kenneth; Doncel, Gustavo F., 2021, “Replication Data for: Adaptation and validation of simple tools to screen and monitor for oral PrEP adherence”, https://doi.org/10.7910/DVN/NI4ZQA, Harvard Dataverse, V1, UNF:6:2M6Nw2BgCJ2vhU+jLH5ZtA== [fileUNF]

Zissette, S., Tolley, E. E., Martinez, A., Hanif, H., Gill, K., Mugo, N., … & Doncel, G. F. (2021). Adaptation and validation of simple tools to screen and monitor for oral PrEP adherence. Plos one, 16(5), e0251823.
Attainment of Developmental Tasks (CC BY 4.0) [link] Kleka, P. (2024, March 4). Achieving mental wellness in school-aged children: Validating a questionnaire to measure developmental task completion (QADT). Retrieved from osf.io/6vqp3
Portuguese adaptation of the Organizational Climate Description Questionnaire Revised for Elementary Schools (OCDQ-RE) (CC 4.0) [link] Oliveira, S., Roberto, M.S., Marques-Pinto, A. et al. Elementary school climate through teachers’ eyes: Portuguese adaptation of the Organizational Climate Description Questionnaire Revised for Elementary schools. Curr Psychol 42, 24312–24325 (2023). https://osf.io/zn4fd/

Questionnaire for the Self-assessment of University Service-learning Experiences（QaSLU) (CC 1.0) [link] López-de-Arana Prado, E., Aramburuzabala, P., Cerrillo, R., & Sánchez-Cabrero, R. (2024). Validation and Standardization of a Questionnaire for the Self-Assessment of Service-Learning Experiences in Higher Education (QaSLu-27). Education Sciences, 14(6), 615.

López de Arana Prado, Elena; Sánchez-Cabrero, Roberto; Aramburuzabala, Pilar; Cerrillo, Rosario, 2024, “Dataset of the initial validation of Questionnaire for the Self-assessment of University Service-learning Experiences (QaSLu)”, https://doi.org/10.7910/DVN/LUUDQC, Harvard Dataverse, V3, UNF:6:0G58Cn2FWIOPS6cx7++mzg== [fileUNF]

Questionnaire for the Self-assessment of University Service-learning Experiences (QaSLu) (CC0 1.0) [link] López-de-Arana Prado, E.; Aramburuzabala, P.; Cerrillo, R.; Sánchez-Cabrero, R. Validation and Standardization of a Questionnaire for the Self-Assessment of Service-Learning Experiences in Higher Education (QaSLu-27). Educ. Sci. 2024, 14, 615. https://doi.org/10.3390/educsci14060615 doi: https://www.mdpi.com/2227-7102/14/6/615

López de Arana Prado, Elena; Sánchez-Cabrero, Roberto; Aramburuzabala, Pilar; Cerrillo, Rosario, 2024, “Dataset of the initial validation of Questionnaire for the Self-assessment of University Service-learning Experiences (QaSLu)”, https://doi.org/10.7910/DVN/LUUDQC, Harvard Dataverse, V3, UNF:6:0G58Cn2FWIOPS6cx7++mzg== [fileUNF]

Social Communication Questionnaire (CC BY 4.0) [link] Kipkemoi, Patricia; Kipkoech, Collins, 2024, “Replication Data for: Evaluation of the psychometric properties of the Social Communication Questionnaire in Rural Kenya”, https://doi.org/10.7910/DVN/NJHSAC, Harvard Dataverse, V1, UNF:6:BGoEytC8iWGwL91uQnBjkQ== [fileUNF]

Kipkemoi, P., Savage, J. E., Gona, J., Rimba, K., Kombe, M., Mwangi, P., … & Abubakar, A. (2024). Evaluation of the psychometric properties of the social communication questionnaire in rural Kenya. Journal of Autism and Developmental Disorders, 1-19.
Center for Epidemiological Studies - Depression (CES-D) Scale in older Filipinos. (CC0 1.0) [link] Afable, Sanny Boy; Cruz, Grace Trinidad; Saito, Yasuhiko, 2023, “Replication Data for: Psychometric Properties of the CES-D Scale in Older Filipinos”, https://doi.org/10.7910/DVN/UT9RVL, Harvard Dataverse, V1, UNF:6:Sz8/8a1aaU/q4PPwsdwpdw== [fileUNF]

Duesseldorf Orthorexia Scale (CC0 1.0) [link] He, Jinbo, 2019, “Replication Data for: Psychometric properties of the Chinese version of the Duesseldorf Orthorexia Scale - Prevalence and demographic correlates of Orthorexia nervosa among Chinese university students”, https://doi.org/10.7910/DVN/F4UYZQ, Harvard Dataverse, V1, UNF:6:3aX2gYvPpoOWxIvwRfO3iQ== [fileUNF]

He, J., Ma, H., Barthels, F., & Fan, X. (2019). Psychometric properties of the Chinese version of the Düsseldorf Orthorexia Scale: prevalence and demographic correlates of orthorexia nervosa among Chinese university students. Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity, 24, 453-463.
Servant Leadership Scale (SL-7; Liden et al., 2015) (CC0 1.0) [link] Ghasemy, Majid, 2024, “Replication data for: Psychometric properties of the SL-7 scale in academic settings”, https://doi.org/10.7910/DVN/FDDY2N, Harvard Dataverse, V1
GSS data on abortion attitudes (GPL-3) [link] n/a
Responses to job satisfaction items (GPL-3) [link] Bartolucci, F., Bacci, S., & Gnaldi, M. (2015). Statistical analysis of questionnaires: A unified approach based on R and Stata (Vol. 34). CRC press.
Data from the resistance to framing scale (CC-By Attribution 4.0 International) [link] Geiger, S.J., Vintr, J. & Rachev, N.R. A reassessment of the Resistance to Framing scale. Behav Res 55, 2320–2332 (2023). https://doi.org/10.3758/s13428-022-01876-7
Rosenberg Self-Esteem Scale (CC-By Attribution 4.0 International) [link] Goto, T. (2021). Comparing the Psychometric Properties of Two Japanese-Translated Scales of the Free Will and Determinism-Plus Scale. Frontiers in Psychology, 12, 720601.
Big Five Inventory – 2 (CC 4.0) [link] Miroshnik, K. G., Shcherbakova, O. V., & Kaufman, J. C. (2024, February 15). Russian validation of Kaufman Domains of Creativity Scale: Relationship to occupation and measurement invariance across gender. https://doi.org/10.17605/OSF.IO/G5BK4
Creative Behavior Inventory (CC 4.0) [link] Miroshnik, K. G., Shcherbakova, O. V., & Kaufman, J. C. (2024, February 15). Russian validation of Kaufman Domains of Creativity Scale: Relationship to occupation and measurement invariance across gender. https://doi.org/10.17605/OSF.IO/G5BK4
Kaufman Domains of Creativity Scale (CC 4.0) [link] Miroshnik, K. G., Shcherbakova, O. V., & Kaufman, J. C. (2024, February 15). Russian validation of Kaufman Domains of Creativity Scale: Relationship to occupation and measurement invariance across gender. https://doi.org/10.17605/OSF.IO/G5BK4
Big Five Inventory-2 (BFI-2) (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Self-Construal Scale (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Hexaco honesty-humility subscale (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Interdependent happiness scale (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Life orientation scale (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Racial microagression scale (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Narcissism admiration and rivalry questionnaire (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Centrality of religion scale (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Subjective happiness scale (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Tightness-looseness scale (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Trustworthiness scale (CC-By Attribution 4.0 International) [link] Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development.
Schizotypal Ambivalence Scale (SAS) (CC-By Attribution 4.0 International) [link] Deters, L. B., Silvia, P. J., & Kwapil, T. R. (2022). The Schizotypal Ambivalence Scale: An Item Response Theory Analysis. Behavioral Sciences, 12(8), 247.
Managing Bipolar Disorder Scale (CC-By Attribution 4.0 International) [link] Erceg-Hurn, D. M., & McEvoy, P. (2024, February 26). Self-efficacy in Bipolar Disorder: Development and Validation of a Self-Report Scale. https://doi.org/10.17605/OSF.IO/C4V7G

Self-Compassion Scale (CC BY 4.0) [link] López, Angélica; Sanderman, Robbert; Smink, Ans; Zhang, Ying; Van Sonderen, Eric; Ranchor, Adelita; Schroevers, Maya J., 2015, “A reconsideration of the Self-Compassion Scale’s total score: Self-compassion versus self-criticism”, https://doi.org/10.34894/RIYMFV, DataverseNL, V2

López A, Sanderman R, Smink A, Zhang Y, van Sonderen E, Ranchor A, et al. (2015) A Reconsideration of the Self-Compassion Scale’s Total Score: Self-Compassion versus Self-Criticism. PLoS ONE 10(7): e0132940. doi: 10.1371/journal.pone.0132940
Brief Fear of Negative-Evaluation Scale (CC-By Attribution 4.0 International) [link] Suh, D. E. (2024, April 24). The 10-Item Version Singelis’s Self-Construal Scale (SCS-Short Version) for Korean Adults: Psychometric Properties, Measurement Invariance with European Americans, and Associations with Social Anxiety. Retrieved from osf.io/wsjkb
Singelis Self-Construal Scale (CC-By Attribution 4.0 International) [link] Suh, D. E. (2024, April 24). The 10-Item Version Singelis’s Self-Construal Scale (SCS-Short Version) for Korean Adults: Psychometric Properties, Measurement Invariance with European Americans, and Associations with Social Anxiety. Retrieved from osf.io/wsjkb
Social Phobia Scale and Social Interaction Anxiety Scale (CC-By Attribution 4.0 International) [link] Suh, D. E. (2024, April 24). The 10-Item Version Singelis’s Self-Construal Scale (SCS-Short Version) for Korean Adults: Psychometric Properties, Measurement Invariance with European Americans, and Associations with Social Anxiety. Retrieved from osf.io/wsjkb
Quality of life items asked of oncology patients (GPL-3) [link] Ware, J., Kosinski, M., Turner-Bowker, D. and Gandek, B. (2002), SF-12v2. How to score version 2 of the SF-12 health survey, QualityMetric Incorporated: Lincoln.
Daily Spiritual Experience Scale (CC 4.0) [link] Barnby, J. M., & Bell, V. (2017, August 25). Sensed Presence Questionnaire Validation Study. https://doi.org/10.17605/OSF.IO/FECGZ
Social Imagery Subscale (CC 4.0) [link] Barnby, J. M., & Bell, V. (2017, August 25). Sensed Presence Questionnaire Validation Study. https://doi.org/10.17605/OSF.IO/FECGZ
Brief Oxford-Liverpool Inventory of Feeling and Experiences (CC 4.0) [link] Barnby, J. M., & Bell, V. (2017, August 25). Sensed Presence Questionnaire Validation Study. https://doi.org/10.17605/OSF.IO/FECGZ
The Sensed Presence Questionnaire (CC 4.0) [link] Barnby, J. M., & Bell, V. (2017, August 25). Sensed Presence Questionnaire Validation Study. https://doi.org/10.17605/OSF.IO/FECGZ
The Social Interaction Anxiety Scale (CC 4.0) [link] Barnby, J. M., & Bell, V. (2017, August 25). Sensed Presence Questionnaire Validation Study. https://doi.org/10.17605/OSF.IO/FECGZ
WHO-5 Well-Being Index (CC 4.0) [link] Barnby, J. M., & Bell, V. (2017, August 25). Sensed Presence Questionnaire Validation Study. https://doi.org/10.17605/OSF.IO/FECGZ
Depression Anxiety Stress Scales-21 (DASS-21) (CC-By Attribution 4.0 International) [link] Ranđelović, M., Jokic, B., & Purić, D. (2023). Are dimensions of interoceptive awareness the same for everyone? Serbian validation of MAIA-2 in samples with differing mind-body practice experience. https://osf.io/preprints/psyarxiv/8fdma
Emotion Regulation Questionnaire (CC-By Attribution 4.0 International) [link] Ranđelović, M., Jokic, B., & Purić, D. (2023). Are dimensions of interoceptive awareness the same for everyone? Serbian validation of MAIA-2 in samples with differing mind-body practice experience. https://osf.io/preprints/psyarxiv/8fdma
Mindful Attention Awareness Scale (CC-By Attribution 4.0 International) [link] Ranđelović, M., Jokic, B., & Purić, D. (2023). Are dimensions of interoceptive awareness the same for everyone? Serbian validation of MAIA-2 in samples with differing mind-body practice experience. https://osf.io/preprints/psyarxiv/8fdma
interoceptive awareness (CC-By Attribution 4.0 International) [link] Ranđelović, M., Jokic, B., & Purić, D. (2023). Are dimensions of interoceptive awareness the same for everyone? Serbian validation of MAIA-2 in samples with differing mind-body practice experience. https://osf.io/preprints/psyarxiv/8fdma
Subjective Happiness Scale (CC-By Attribution 4.0 International) [link] Ranđelović, M., Jokic, B., & Purić, D. (2023). Are dimensions of interoceptive awareness the same for everyone? Serbian validation of MAIA-2 in samples with differing mind-body practice experience. https://osf.io/preprints/psyarxiv/8fdma
DELTA 9 disintegration scale (CC-By Attribution 4.0 International) [link] Ranđelović, M., Jokic, B., & Purić, D. (2023). Are dimensions of interoceptive awareness the same for everyone? Serbian validation of MAIA-2 in samples with differing mind-body practice experience. https://osf.io/preprints/psyarxiv/8fdma
Hexaco 100 item personality inventory (CC-By Attribution 4.0 International) [link] Ranđelović, M., Jokic, B., & Purić, D. (2023). Are dimensions of interoceptive awareness the same for everyone? Serbian validation of MAIA-2 in samples with differing mind-body practice experience. https://osf.io/preprints/psyarxiv/8fdma
Hexaco 60 item personality inventory (CC-By Attribution 4.0 International) [link] Ranđelović, M., Jokic, B., & Purić, D. (2023). Are dimensions of interoceptive awareness the same for everyone? Serbian validation of MAIA-2 in samples with differing mind-body practice experience. https://osf.io/preprints/psyarxiv/8fdma
Preschool Implicit Association Test (CC-By Attribution 4.0 International) [link] https://doi.org/10.17605/OSF.IO/K2QEW
Empathy index in a Brazilian sample (CC-By Attribution 4.0 International) [link] Shiramizu, V. M., & Yamamoto, M. E. (2018, May 28). Validation of the Empathy Index in a Brazilian Sample. https://doi.org/10.31234/osf.io/zwu26
Interpersonal Reactivity Index in a Brazilian sample (CC-By Attribution 4.0 International) [link] Shiramizu, V. M., & Yamamoto, M. E. (2018, May 28). Validation of the Empathy Index in a Brazilian Sample. https://doi.org/10.31234/osf.io/zwu26

Sense of Coherence (CC BY 4.0) [[link]](https://osf.io/pj5mr/

) Sebo, P. (2024, January 27). Validation of the sense of coherence (SOC) scale in a French population. https://doi.org/10.17605/OSF.IO/PJ5MR
VA Satisfaction survey related to supportive services for low-income veterans (2016-2017) (CC BY-SA 4.0) [link] https://www.data-liberation-project.org/datasets/va-ssvf-survey-data/
VA Satisfaction survey related to supportive services for low-income veterans (2-18-2020) (CC BY-SA 4.0) [link] https://www.data-liberation-project.org/datasets/va-ssvf-survey-data/
Polish work moral disengagement scale (CC-By Attribution 4.0 International) [link] Bartczuk, R. P., & Zarzycka, B. (2023, June 6). Moral Disengagement in the Workplace: Validity and Psychometric Properties of the Polish Work Moral Disengagement Scale. https://doi.org/10.31234/osf.io/rgy4a
Working memory tasks focused on reading. (CC-By Attribution 4.0 International) [link] Navarro, E., Hao, H., Rosales, K. P., & Conway, A. R. (2023). An item response theory approach to the measurement of working memory capacity. Behavior Research Methods, 1-18.
Working memory tasks focused on rotation. (CC-By Attribution 4.0 International) [link] Navarro, E., Hao, H., Rosales, K. P., & Conway, A. R. (2023). An item response theory approach to the measurement of working memory capacity. Behavior Research Methods, 1-18.
Aesthetic Responsiveness Assessment (CC 4.0) [link] Silvia, P. J., Rodriguez-Boerwinkle, R., Awa, K. N., Zabelina, D., & Christensen, A. P. (2024, September 18). Psychometrics of the Aesthetic Responsiveness Assessment (AReA). Retrieved from osf.io/5w6dk
The Symptom Checklist 90(SCL-90-R) (CC BY 4.0) [link] Malpas, C. B., De Wei Wang, A., Leong, M. M. Y., Johnstone, B., Rayner, G., Kalincik, T., … Velakoulis, D. (2019, October 31). Abbreviated assessment of psychopathology in patients with suspected seizure disorders. https://doi.org/10.17605/OSF.IO/3BA2Z
Attitudes on abortion (GPL-3) [link] McGrath, K. and Waterton, J. (1986) British social attitudes, 1983-86 panel survey. London: SCPR.
Data from the ajective check list (GPL-3) [link] Gough, H. G., & Heilbrun,A. B. (1980) The Adjective Check List, Manual 1980 Edition. Consulting Psychologists Press.
Dealing with boredom scale (CC-By Attribution 4.0 International) [link] Bieleke, M., Ripper, L., Schüler, J., & Wolff, W. (2022). Boredom is the root of all evil—or is it? A psychometric network approach to individual differences in behavioural responses to boredom. Royal Society open science, 9(9), 211998.
Aesthetic fluency scale (GNU General Public License (GPL) 3.0) [link] Cotter, K. N., Rodriguez-Boerwinkle, R. M., Christensen, A. P., Fekete, A., Smith, J. K., Smith, L. F., … & Silvia, P. J. (2023). Updating the Aesthetic Fluency Scale: Revised long and short forms for research in the psychology of the arts. Plos one, 18(2), e0281547.
Academic Functional Procrastination (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
Adult Inventory of Procrastination (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
Alcohol use disorder scale (CC-BY) [link] Rousson, V., Trächsel, B., Iglesias, K., & Baggio, S. (2023). Evaluating the cost of simplicity in score building: An example from alcohol research. Plos one, 18(11), e0294671.
Stroop tasks with alcohol-related cues (CC BY 4.0) [link] Jones, A., Petrovskaya, E. & Stafford, T. Exploring the multiverse of analysis options for the alcohol Stroop. Behav Res 56, 3578–3588 (2024). https://doi.org/10.3758/s13428-024-02377-5
Participants rate photos of smiling and neutral faces of mix-heritage people based on different measures (CC BY 4.0) [link] Chen, J.M., Norman, J.B. & Nam, Y. Broadening the stimulus set: Introducing the American Multiracial Faces Database. Behav Res (2020). https://doi.org/10.3758/s13428-020-01447-8
Attitudes about capital punishment (GPL-3) [link] Andrich, D. (1988). The application of an unfolding model of the PIRT type to the measurement of attitude. Applied psychological measurement, 12(1), 33-51.
Anxiety regarding gastrointestinal symptoms for those with eating pathology (CC-By Attribution 4.0 International) [link] Forney, K. J., Burton Murray, H., Brown, T. A., Guadagnoli, L., Pucci, G., & Taft, T. (2023). Validation of a measure of hypervigilance and anxiety about gastrointestinal symptoms for individuals with elevated eating pathology. Psychological Assessment.
Reports for PROMIS anxiety measure (GPL-3) [link] PROMIS Cooperative Group. Unpublished Manual for the Patient-Reported Outcomes Measurement Information System (PROMIS) Version 1.1. October, 2008: http://www.nihpromis.org
Active Procrastination Scale (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
Data from the author recognition test (CC BY 4.0) [link] McCarron, S.P., Kuperman, V. Is the author recognition test a useful metric for native and non-native English speakers? An item response theory analysis. Behav Res 53, 2226–2237 (2021). https://doi.org/10.3758/s13428-021-01556-y
Data on individual differences in what people enjoy about visual art (CC-BY-NC-SA 4.0) [link] Artistic Preferences Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/APS_data.zip
The Adolescent Self-rating Life Events Checklist (ASLEC) (CC BY 4.0) [link] Wang, W., Shen, X., Guo, X., Liu, S., Chen, Q., Ma, S., & Jian, Y. (2025). Psychometric evaluation of the insomnia severity index in 570,295 Chinese adolescents: A bifactor item-response theory analysis. Journal of Pacific Rim Psychology, 19, 18344909241310783.
AUDIT alcohol use scale (CC-By Attribution 4.0 International) [link] de Souza Brümmer, R., Krause, K. R., Salum, G. A., de Almeida Fleck, M. P., Porto, I. M., do Amaral, J. V., … & Hoffmann, M. S. (2024). Beyond frequency: Evaluating the validity of assessing the context, duration, ability and botherement of depression and anxiety symptoms in south Brazil. Psychological Assessment.
Autonomy support ratings of teachers by students (GPL-3) [link] Koopman, L., Zijlstra, B. J., & van der Ark, L. A. (2020). Standard errors of two‐level scalability coefficients. British Journal of Mathematical and Statistical Psychology, 73(2), 213-236.
Boredom avoidance and escape (CC-By Attribution 4.0 International) [link] Bieleke, M., Ripper, L., Schüler, J., & Wolff, W. (2022). Boredom is the root of all evil—or is it? A psychometric network approach to individual differences in behavioural responses to boredom. Royal Society open science, 9(9), 211998.
Toddler’s performance on balancing tasks (GPL-3) [link] Van Maanen, L., Been, P. H., & Sijtsma, K. (1989). Problem solving strategies and the linear logistic test model. In Mathematical psychology in progress (pp. 267-287). Springer.
Adaptive and maladaptive behaviors (CC-By Attribution 4.0 International) [link] Bieleke, M., Ripper, L., Schüler, J., & Wolff, W. (2022). Boredom is the root of all evil—or is it? A psychometric network approach to individual differences in behavioural responses to boredom. Royal Society open science, 9(9), 211998.
Beck Hopelessness Scale (BHS) and suicidal ideation (SI) in an Argentine population. (CC BY 4.0) [link] Flores-Kanter, Pablo Ezequiel (2021), “Datset for Internal structure of Beck Hopelessness Scale: An analysis of method effects using the CT-C(M–1) model”, Mendeley Data, V5, doi: 10.17632/9mjg54kcwv.5
Data from a big 5 measure (GPL-3) [link] Dolan, C. V., Oort, F. J., Stoel, R. D., & Wicherts, J. M. (2009). Testing measurement invariance in the target rotated multigroup exploratory factor model. Structural Equation Modeling: A Multidisciplinary Journal, 16(2), 295-314.
Parasocial Relationships in Social Media survey (CC BY 4.0) [link] Boyd AT, Rocconi LM, Morrow JA (2024) Construct validation and measurement invariance of the Parasocial Relationships in Social Media survey. PLoS ONE 19(3): e0300356. https://doi.org/10.1371/journal.pone.0300356
Boredom proneness scale (CC-By Attribution 4.0 International) [link] Bieleke, M., Ripper, L., Schüler, J., & Wolff, W. (2022). Boredom is the root of all evil—or is it? A psychometric network approach to individual differences in behavioural responses to boredom. Royal Society open science, 9(9), 211998.
Data from an interactive version of the Open Hemispheric Brain Dominance Scale survey, a measure of left and right brain cognitive style (CC BY 4.0) [link] Jorgenson, E. (2016). Open Hemispheric Brain Dominance Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/OHBDS-data.zip
BRAND2024 Familiarity (NA) [link] Raffaelli, C., Bocchi, E., Estes, Z. et al. BRAND: Brand recognition and attitude norms database. Behav Res 57, 17 (2025). https://doi.org/10.3758/s13428-024-02525-x
BRAND2020 Liking (NA) [link] Raffaelli, C., Bocchi, E., Estes, Z. et al. BRAND: Brand recognition and attitude norms database. Behav Res 57, 17 (2025). https://doi.org/10.3758/s13428-024-02525-x
BRAND2024 Liking (NA) [link] Raffaelli, C., Bocchi, E., Estes, Z. et al. BRAND: Brand recognition and attitude norms database. Behav Res 57, 17 (2025). https://doi.org/10.3758/s13428-024-02525-x
BRAND2020 Recognition (NA) [link] Raffaelli, C., Bocchi, E., Estes, Z. et al. BRAND: Brand recognition and attitude norms database. Behav Res 57, 17 (2025). https://doi.org/10.3758/s13428-024-02525-x

Data from an interactive personality test that combines the scales from 8 different well regarded tests into one.

(CC BY 4.0) [link] Yarkoni, T. (2010). The abbreviation of personality, or how to measure 200 personality scales with 200 items. Journal of Research in Personality, 44, 180-198.
Coping with noxious factory odor. (GPL-3) [link] Cavalini, P. M. (1992). It’s an ill wind that brings no good. Studies on odour annoyance and the dispersion of odorant concentrations from industries. Unpublished doctoral disseratation. University of Groningen, The Netherlands.
Childbearing Questionnaire (CC0 1.0 Universal) [link] Huczewska, I., Leśniak, J., Mynarska, M. et al. A Short Measure of Childbearing Motivations: Development and Psychometric Evaluation in Polish Samples of Adults and Adolescents. J Child Fam Stud 32, 1823–1838 (2023). https://doi.org/10.1007/s10826-022-02497-6
NA (NA) [link] Coello-Cremades, M., Martínez-Molina, A., Ferrer-Peña, R., & Lerma-Lara, S. (2024). The Spanish adaptation of the Tampa Scale for Kinesiophobia Heart: psychometric evidence in cardiac rehabilitation patients. European Journal of Physical and Rehabilitation Medicine, 60(4), 691.
NA (NA) [link] Coello-Cremades, M., Martínez-Molina, A., Ferrer-Peña, R., & Lerma-Lara, S. (2024). The Spanish adaptation of the Tampa Scale for Kinesiophobia Heart: psychometric evidence in cardiac rehabilitation patients. European Journal of Physical and Rehabilitation Medicine, 60(4), 691.
NA (NA) [link] Coello-Cremades, M., Martínez-Molina, A., Ferrer-Peña, R., & Lerma-Lara, S. (2024). The Spanish adaptation of the Tampa Scale for Kinesiophobia Heart: psychometric evidence in cardiac rehabilitation patients. European Journal of Physical and Rehabilitation Medicine, 60(4), 691.
NA (NA) [link] Coello-Cremades, M., Martínez-Molina, A., Ferrer-Peña, R., & Lerma-Lara, S. (2024). The Spanish adaptation of the Tampa Scale for Kinesiophobia Heart: psychometric evidence in cardiac rehabilitation patients. European Journal of Physical and Rehabilitation Medicine, 60(4), 691.
NA (NA) [link] Coello-Cremades, M., Martínez-Molina, A., Ferrer-Peña, R., & Lerma-Lara, S. (2024). The Spanish adaptation of the Tampa Scale for Kinesiophobia Heart: psychometric evidence in cardiac rehabilitation patients. European Journal of Physical and Rehabilitation Medicine, 60(4), 691.
Data from an English proficiency exam (ECPE) (GPL-3) [link] Templin, J., & Hoffman, L. (2013). Obtaining diagnostic classification model estimates using Mplus. Educational Measurement: Issues and Practice, 32, 37-50.
Subset of PISA reading test with Q matrix. (GPL-3) [link] Chen, J., & de la Torre, J. (2014). A procedure for diagnostically modeling extant large-scale assessment data: the case of the programme for international student assessment in reading. Psychology, 5(18), 1967-1978.
Subset of TIMSS math items with Q matrix (GPL-3) [link] Su, Y.-L., Choi, K. M., Lee, W.-C., Choi, T., & McAninch, M. (2013). Hierarchical cognitive diagnostic analysis for TIMSS 2003 mathematics. CASMA Research Report 35. Center for Advanced Studies in Measurement and Assessment (CASMA), University of Iowa.
Subsample of TIMSS items from Australia with Q matrix (GPL-3) [link] Lee, Y. S., Park, Y. S., & Taylan, D. (2011). A cognitive diagnostic modeling of attribute mastery in Massachusetts, Minnesota, and the US national sample using the TIMSS 2007. International Journal of Testing, 11, 144-177.
Austrian TIMSS data with Q matrix (GPL-3) [link] George, A. C., & Robitzsch, A. (2014). Multiple group cognitive diagnosis models, with an emphasis on differential item functioning. Psychological Test and Assessment Modeling, 56(4), 405-432
Data from the Amsterdam Chess test (GPL-3) [link] Van Der Maas, H. L., & Wagenmakers, E. J. (2005). A psychometric analysis of chess expertise. The American journal of psychology, 118(1), 29-60.

Scale of beliefs regarding Christian nationalism (CC0 1.0) [link] Davis, Nicholas, 2021, “Replication Data for:”The psychometric properties of the Christian nationalism index”“, https://doi.org/10.7910/DVN/GUSJEI, Harvard Dataverse, V3, UNF:6:dG70IBvQy+c6WMc/y+utjw== [fileUNF]

Davis, N. T. (2023). The psychometric properties of the Christian nationalism scale. Politics and Religion, 16(1), 1-26.
Data from an interactive version of the Experinces in Close Relationships Scale by Kelly Brennan, Catherine Clark and Phillip Shaver. (CC BY 4.0) [link] (2018). Experiences in Close Relationships Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/ECR-data-1March2018.zip
Concreteness (is word’s meaning understood through perception and action) of expressions (CC-By Attribution 4.0 International) [link] Muraki, E. J., Abdalla, S., Brysbaert, M., & Pexman, P. M. (2023). Concreteness ratings for 62,000 English multiword expressions. Behavior Research Methods, 55(5), 2522-2531.
Likert scale responses statements on how actions may effect future consequences (CC BY 4.0) [link] Consideration of Future Consequences Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/CFCS.zip

Items from a randomized trial to improve reading comprehension, science domain knowledge, and reading engagement via literacy inteventions in 1st grade (CC BY 4.0) [link] Kim, J. S., Burkhauser, M. A., Mesite, L. M., Asher, C. A., Relyea, J. E., Fitzgerald, J., & Elmore, J. (2021). Improving reading comprehension, science domain knowledge, and reading engagement through a first-grade content literacy intervention. Journal of Educational Psychology, 113(1), 3.

Kim, James S.; Burkhauser, Mary; Mesite, Laura; Asher, Catherine A.; Relyea, Jackie Eunjung; Fitzgerald, Jill; Elmore, Jeff, 2021, “Replication data for: Improving Reading Comprehension, Science Domain Knowledge, and Reading Engagement through a First-Grade Content Literacy Intervention”, https://doi.org/10.7910/DVN/RVJIMX, Harvard Dataverse, V1, UNF:6:BSUJnLmkvmj0YSTQr3MZAA== [fileUNF]
Responses and response times from a credentialing dataset with suspected cheating. (GPL-3) [link] Cizek, G. J., & Wollack, J. A. (Eds.). (2016). Handbook of quantitative methods for detecting cheating on tests. Abingdon, England: Routledge.
Syntax questions (CC-By Attribution 4.0) [link] Chen, T., & Hartshorne, J. K. (2021). More evidence from over 1.1 million subjects that the critical period for syntax closes in late adolescence. Cognition, 214, 104706.
Survey of leisure time usage (GPL-3) [link] http://www.labstat.it/home/wp-content/uploads/2015/09/relgoods.txt
NA (NA) [link] Stone, B.M., Gray, K.M., Tomko, R.L. et al. Differential Mechanisms of Behavior Change in Cannabis Use Disorder Treatments: Functional Improvements and Clinical Implications. Int J Ment Health Addiction (2024). https://doi.org/10.1007/s11469-023-01231-7
Data on undergraduate students’ attitudes towards science pre- and post-participation in a protein-centric CURE (CC BY 4.0) [link] Eddy, R., Koletar, C., Galport, N., Bell, J. E., Bell, J. K., & Provost, J. (2022). CURE Survey Pretest and Post-Test Student Data. LDbase. https://doi.org/10.33009/ldbase.1667941609.e3ab

DASS among Malaysians during COVID 19 (CC0 1.0) [link] Thiyagarajan, A., James, T. G., & Marzo, R. R. (2022). Psychometric properties of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) among Malaysians during COVID-19: A methodological study. Humanities and Social Sciences Communications, 9(1), 1-8.

Thiyagarajan, Arulmani, 2022, “Replication Data for: Psychometric properties of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) among Malaysians during COVID-19: a methodological study”, https://doi.org/10.7910/DVN/AJVLN6, Harvard Dataverse, V1
Data on mental rotation tasks (GPL-2) [link] Borst, G., Kievit, R. A., Thompson, W. L., & Kosslyn, S. M. (2011). Mental rotation is not easily cognitively penetrable. Journal of Cognitive Psychology, 23(1), 60-75.
Data on feelings of deception after playing an online game (CC-By Attribution 4.0 International) [link] Krasnow, M.M., Howard, R.M. & Eisenbruch, A.B. The importance of being honest? Evidence that deception may not pollute social science subject pools after all. Behav Res 52, 1175–1188 (2020). https://doi.org/10.3758/s13428-019-01309-y
Data on professors’ feelings on deception in academia (CC-By Attribution 4.0 International) [link] Krasnow, M.M., Howard, R.M. & Eisenbruch, A.B. The importance of being honest? Evidence that deception may not pollute social science subject pools after all. Behav Res 52, 1175–1188 (2020). https://doi.org/10.3758/s13428-019-01309-y
Data from an online survey that measures scales of depression anxiety and stress (CC BY 4.0) [link] (2021). Depression Anxiety Stress Scales [dataset and codebook]. http://openpsychometrics.org/_rawdata/DASS_data_21.02.19.zip

depression via promis and BSI (CC0 1.0) [link] Tang, X., Schalet, B. D., Janulis, P., Kipke, M. D., Kaat, A., Mustanski, B., … & Gorbach, P. M. (2022). Can a linking crosswalk table be applied to a different population? An independent validation study for a crosswalk between BSI depression and PROMIS depression scales. PloS one, 17(11), e0278232.

Tang, Xiaodan, 2022, “Replication Data for: BSI Depression and PROMIS Depression data from the HYM cohort”, https://doi.org/10.7910/DVN/RX8OLL, Harvard Dataverse, V1, UNF:6:z+36Js2KhMWNDytcNIo+NQ== [fileUNF]
Certified DET for the independent writing (CC BY 4.0) [link] Naismith, B., Attali, Y., & LaFlair, G. T. (2024, March 8). DET Task Duration dataset (DET-duration). Retrieved from osf.io/zy8fb
Responses to Czech medical school admissions exam (GPL-3) [link] Drabinova, A. & Martinkova, P. (2017). Detection of differential item functioning with nonlinear regression: A non-IRT approach accounting for guessing. Journal of Educational Measurement, 54(4), 498–517, doi: 10.1111/jedm.12158.

Disgust scale (CC0) [link] Berger Uri; Anaki David, 2015, “Data from paper”Demographic influences on disgust: Evidence from a heterogeneous sample.”“, https://doi.org/10.7910/DVN/27285, Harvard Dataverse, V1, UNF:5:BUU44xvavKQ3Bl8nZE0B5g== [fileUNF]

Berger, U., & Anaki, D. (2015). Data from “Demographic Influences on Disgust: Evidence from A Heterogeneous Sample. Journal of Open Psychology Data, 3(1), e1-e1. <button id=”cite-button-disgust_berger2014” class=“citation-button” onclick=“getCitation(@article{Berger_2015, title={Data from “Demographic Influences on Disgust: Evidence from A Heterogeneous Sample."}, volume={3}, ISSN={2050-9863}, url={http://dx.doi.org/10.5334/jopd.ag}, DOI={10.5334/jopd.ag}, journal={Journal of Open Psychology Data}, publisher={Ubiquity Press, Ltd.}, author={Berger, Uri and Anaki, David}, year={2015}, month=jan }, ‘cite-button-disgust_berger2014’, ‘cite-text-disgust_berger2014’)”> Get BibTex
DS14 responses from patients with coronary artery disease (GPL-3) [link] Denollet, J., Pedersen, S. S., Vrints, C. J., & Conraads, V. M. (2013). Predictive value of social inhibition and negative affectivity for cardiovascular events and mortality in patients with coronary artery disease: the Type D personality construct. Psychosomatic Medicine, 75, 873-981.
Human ratings of a divergent thinking measure (CC-By Attribution 4.0 International) [link] Dumas, D., Organisciak, P., & Doherty, M. (2021). Measuring divergent thinking originality with human raters and text-mining models: A psychometric comparison of methods. Psychology of Aesthetics, Creativity, and the Arts, 15(4), 645.
Modeling of second language acquisition, data from English learners (who already speak Spanish). (NA) [link] Settles, Burr, 2018, “Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)”, https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
Modeling of second language acquisition, data from English learners (who already speak Spanish). (NA) [link] Settles, Burr, 2018, “Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)”, https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
Modeling of second language acquisition, data from English learners (who already speak Spanish). (NA) [link] Settles, Burr, 2018, “Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)”, https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
Modeling of second language acquisition, data from Spanish learners (who already speak English). (NA) [link] Settles, Burr, 2018, “Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)”, https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
Modeling of second language acquisition, data from Spanish learners (who already speak English). (NA) [link] Settles, Burr, 2018, “Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)”, https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
Modeling of second language acquisition, data from Spanish learners (who already speak English). (NA) [link] Settles, Burr, 2018, “Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)”, https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
Modeling of second language acquisition, data from French learners (who already speak English). (NA) [link] Settles, Burr, 2018, “Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)”, https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
Modeling of second language acquisition, data from French learners (who already speak English). (NA) [link] Settles, Burr, 2018, “Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)”, https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
Modeling of second language acquisition, data from French learners (who already speak English). (NA) [link] Settles, Burr, 2018, “Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)”, https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
Counterproductive Work Behavior items(CWB) (CC BY 4.0) [link] Marcatto, F. (2024, January 12). Data for Validation of the Italian version of the Dark Tetrad at Work scale: Psychometric properties and measurement invariance across languages. Retrieved from osf.io/8mj73
Dark Tetrad at Work(dtw) (CC BY 4.0) [link] Marcatto, F. (2024, January 12). Data for Validation of the Italian version of the Dark Tetrad at Work scale: Psychometric properties and measurement invariance across languages. Retrieved from osf.io/8mj73
Organizational Citizenship Behavior items(OCB) (CC BY 4.0) [link] Marcatto, F. (2024, January 12). Data for Validation of the Italian version of the Dark Tetrad at Work scale: Psychometric properties and measurement invariance across languages. Retrieved from osf.io/8mj73
Organizational Commitment scale items(OCS) (CC BY 4.0) [link] Marcatto, F. (2024, January 12). Data for Validation of the Italian version of the Dark Tetrad at Work scale: Psychometric properties and measurement invariance across languages. Retrieved from osf.io/8mj73
Short Negative Acts Questionnaire items(SNAQ) (CC BY 4.0) [link] Marcatto, F. (2024, January 12). Data for Validation of the Italian version of the Dark Tetrad at Work scale: Psychometric properties and measurement invariance across languages. Retrieved from osf.io/8mj73
Swedish translation of the empathetic experience scale (CC BY 4.0) [link] Sarling, A., Sundin, Ö., & Jansson, B. (2024). Psychometric evaluation of the Swedish Version of the Empathic Experience Scale (EES).Psychological Test Adaptation and Development, 5(1), 192–200. https://doi.org/10.1027/2698-1866/a000079
Emotional reactivity from the Freiburg Complaint Checklist (GPL-3) [link] ZPID (2013). PsychData of the Leibniz Institute for Psychology Information ZPID. Trier: Center for Research Data in Psychology.
Data from an interactive online version of a combined set of Simon Baron-Cohen’s Empathizing and Systemizing Quotients, which asks participants how much they agree with statements of empathizing and perceiving behaviors (CC BY 4.0) [link] Empathizing-Systemizing Test [dataset and codebook. http://openpsychometrics.org/_rawdata/EQSQ.zip
Data from the natural science portion of the 2013 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2013 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2013 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2013 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the natural science portion of the 2014 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2014 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2014 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2014 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the natural science portion of the 2015 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2015 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2015 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2015 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the natural science portion of the 2016 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2016 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2016 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2016 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the natural science portion of the 2017 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2017 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2017 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2017 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the natural science portion of the 2018 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2018 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2018 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2018 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the natural science portion of the 2019 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2019 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2019 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2019 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the natural science portion of the 2020 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2020 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2020 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2020 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the natural science portion of the 2021 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2021 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2021 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2021 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the natural science portion of the 2022 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the social science portion of the 2022 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the language portion of the 2022 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Data from the mathematics portion of the 2022 Brazilian ENEM assessment (one million person subsample) (CC BY 4.0) [link] Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907.
Environmental risk perception (NA) [link] Lalot, F., Räikkönen, J., & Ahvenharju, S. (2025). An item response theory approach to measurement in environmental psychology: A practical example with environmental risk perception. Journal of Environmental Psychology, 101, 102520.
Attitude towards the environment (GPL-3) [link] Brook, L., Taylor, B. and Prior, G. (1991) British Social Attitudes, 1990, Survey. London: SCPR.
NA (NA) [link] Breuer, S., Scherndl, T., & Ortner, T. M. (2024, September 27). Effects of response format on psychometric properties and fairness of a matrices test: multiple choice versus free response. Retrieved from osf.io/5ru9q
NA (NA) [link] Breuer, S., Scherndl, T., & Ortner, T. M. (2024, September 27). Effects of response format on psychometric properties and fairness of a matrices test: multiple choice versus free response. Retrieved from osf.io/5ru9q
NA (NA) [link] Breuer, S., Scherndl, T., & Ortner, T. M. (2024, September 27). Effects of response format on psychometric properties and fairness of a matrices test: multiple choice versus free response. Retrieved from osf.io/5ru9q
NA (NA) [link] Breuer, S., Scherndl, T., & Ortner, T. M. (2024, September 27). Effects of response format on psychometric properties and fairness of a matrices test: multiple choice versus free response. Retrieved from osf.io/5ru9q
Eysenck Personality Inventory Impulsivity Subscale (GPL-3) [link] Ferrando, P.J.(2002). Theoretical and Empirical Comparison between Two Models for Continuous Item Responses. Multivariate Behavioral Research, 37(4), 521-542.
Teaching self-efficacy scale (GPL-3) [link] Kan, A.(2009). Effect of scale response format on psychometric properties in teaching self-efficacy. Euroasian Journal of Educational Research, 34, 215-228.
Political party preference data from Europeans (GPL-3) [link] Schuur, H. V. (1984). Structure in political beliefs: A new model for stochastic unfolding with application to European party activists (Doctoral dissertation, Rijksuniversiteit te Groningen).

PROMIS fatigue (NA) [link] Stone, Arthur A.; Broderick, Joan E., 2021, “Ecological Validity of PROMIS Instruments”, https://doi.org/10.7910/DVN/G4E2SR, Harvard Dataverse, V1

Christodoulou C, Schneider S, Junghaenel DU, Broderick JE, Stone AA. Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS ®). Qual Life Res. 2014;23(4):1245-1253. doi:10.1007/s11136-013-0553-z

PROMIS Emotional Distress-Anxiety (NA) [link] Stone, Arthur A.; Broderick, Joan E., 2021, “Ecological Validity of PROMIS Instruments”, https://doi.org/10.7910/DVN/G4E2SR, Harvard Dataverse, V1

Christodoulou C, Schneider S, Junghaenel DU, Broderick JE, Stone AA. Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS ®). Qual Life Res. 2014;23(4):1245-1253. doi:10.1007/s11136-013-0553-z

PROMIS Emotional Distress-Depression (NA) [link] Stone, Arthur A.; Broderick, Joan E., 2021, “Ecological Validity of PROMIS Instruments”, https://doi.org/10.7910/DVN/G4E2SR, Harvard Dataverse, V1

Christodoulou C, Schneider S, Junghaenel DU, Broderick JE, Stone AA. Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS ®). Qual Life Res. 2014;23(4):1245-1253. doi:10.1007/s11136-013-0553-z

PROMIS Pain Intensity (NA) [link] Stone, Arthur A.; Broderick, Joan E., 2021, “Ecological Validity of PROMIS Instruments”, https://doi.org/10.7910/DVN/G4E2SR, Harvard Dataverse, V1

Christodoulou C, Schneider S, Junghaenel DU, Broderick JE, Stone AA. Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS ®). Qual Life Res. 2014;23(4):1245-1253. doi:10.1007/s11136-013-0553-z

PROMIS Global health scale (NA) [link] Stone, Arthur A.; Broderick, Joan E., 2021, “Ecological Validity of PROMIS Instruments”, https://doi.org/10.7910/DVN/G4E2SR, Harvard Dataverse, V1

Christodoulou C, Schneider S, Junghaenel DU, Broderick JE, Stone AA. Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS ®). Qual Life Res. 2014;23(4):1245-1253. doi:10.1007/s11136-013-0553-z
Data from an experimental IQ test (CC BY 4.0) [link] Experimental IQ Test [dataset and codebook]. http://openpsychometrics.org/_rawdata/IQ1.zip
Data from test where participants were shown pictures of peoples’ faces and asked to recall whether they had already seen it (CC BY 4.0) [link] Exposure Based Face Memory Test [dataset and codebook]. http://openpsychometrics.org/_rawdata/EBFMT.zip
Data on free will and determinism (CC BY 4.0) [link] Liu, Q. L., Wang, F., Yan, W., Peng, K., Sui, J., & Hu, C. (2020). Questionnaire Data From the Revision of a Chinese Version of Free Will and Determinism Plus Scale. Journal of Open Psychology Data. https://osf.io/t2nsw/
Data on free will and determinism, dualism/anti-reduction subscale (participants: (1) students in an online Intro to Psych course, (2) students in an in-person, university Intro to Psych course) (CC BY 4.0) [link] Liu, Q. L., Wang, F., Yan, W., Peng, K., Sui, J., & Hu, C. (2020). Questionnaire Data From the Revision of a Chinese Version of Free Will and Determinism Plus Scale. Journal of Open Psychology Data. https://osf.io/t2nsw/
Normative ratings of popular melodies (id=song) (CC BY 4.0) [link] Belfi, A.M., Kacirek, K. The famous melodies stimulus set. Behav Res 53, 34–48 (2021). https://doi.org/10.3758/s13428-020-01411-6
NA (NA) [link] Reyna, C., Michelini, Y., Caicedo Cavagnis, E., Mola, D., Belaus, A., & Godoy, J. C. (2022, August 4). Further considerations upon PANAS: Contributions from four studies with different Argentinean samples. Retrieved from osf.io/h3tfc
Driving fear & cognition questionnaires (CC-BY 4.0) [link] Fischer, C., Schröder, A., Taylor, J. E., & Heider, J. (2021). Measuring Driving Fear. European Journal of Psychological Assessment.
Data on peoples’ feminist perspectives, answered on a scale (CC BY 4.0) [link] Henley, N.; Meng, K.; O’Brien, D.; McCarthy, W.; Sockloskie, R. (1998). “Developing a Scale to Measure the Diversity of Feminist Attitudes”. Psychology of Women Quarterly, 22(2), 317-348. ///Feminist Perspectives Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/FPS.zip

The personality test was constructed with the “Big-Five Factor Markers” from the IPIP. https://ipip.ori.org/newBigFive5broadKey.htm

IPIP-FFM-data-8Nov2018.zip (CC BY 4.0) [link] Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological assessment, 4(1), 26.

The personality test was constructed with the “Big-Five Factor Markers” from the IPIP. https://ipip.ori.org/newBigFive5broadKey.htm

IPIP-FFM-data-8Nov2018.zip (CC BY 4.0) [link] Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological assessment, 4(1), 26.

The personality test was constructed with the “Big-Five Factor Markers” from the IPIP. https://ipip.ori.org/newBigFive5broadKey.htm

IPIP-FFM-data-8Nov2018.zip (CC BY 4.0) [link] Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological assessment, 4(1), 26.

The personality test was constructed with the “Big-Five Factor Markers” from the IPIP. https://ipip.ori.org/newBigFive5broadKey.htm

IPIP-FFM-data-8Nov2018.zip (CC BY 4.0) [link] Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological assessment, 4(1), 26.

The personality test was constructed with the “Big-Five Factor Markers” from the IPIP. https://ipip.ori.org/newBigFive5broadKey.htm

IPIP-FFM-data-8Nov2018.zip (CC BY 4.0) [link] Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological assessment, 4(1), 26.
Author recognition (CC BY 4.0) [link] Wimmer, L., & Ferguson, H. J. (2023). Testing the validity of a self-report scale, author recognition test, and book counting as measures of lifetime exposure to print fiction. Behavior Research Methods, 55(1), 103-134.
Judges scores for different aspects of international figure skaters’ performances (2016-17 and 2017-18 seasons) (CC BY 4.0) [link] Singer-Vine, J. & Templon, J. (2021). ISU Figure Skating Score Sheets as Structured Data [data set]. BuzzFeed News. https://github.com/BuzzFeedNews/figure-skating-scores
Math items from FIMS study (Australian and Japanese students) (GPL-3) [link] Robitzsch A, Kiefer T, Wu M (2022). TAM: Test Analysis Modules. R package version 4.1-4, https://CRAN.R-project.org/package=TAM.
Data from a survey with personality items that correlate with being a firstborn child (CC-BY-NC-SA 4.0) [link] (2019). Development of the Firstborn Personality Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/FBPS-ValidationData.zip
Data from an online version of the Fisher Temperment Inventory, which is a measure of personality based on the idea that behavior is influenced by the dominance of neurotransmitters in the brain. (CC BY 4.0) [link] Brown, LL., Acevedo, B., Fisher, HE. Fisher Temperament Inventory [dataset and codebook]. http://openpsychometrics.org/_rawdata/FTI-data.zip///Brown LL, Acevedo B, Fisher HE (2013). Neural Correlates of Four Broad Temperament Dimensions: Testing Predictions for a Novel Construct of Personality. PLoS ONE 8(11): e78734.
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
The Child and Adolescent Dispositions Scale (CADS) assesses temperament and personality traits, such as Prosociality (including facets like Sympathy, Respect for Rules, and Sociability), Negative Emotionality, and Daring. (CC BY 4.0) [link] Schatschneider, C., Lonigan, C., & Taylor, J. E. (2021). Behavior and Environment Survey Codebook. LDbase. http://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20
The Child and Adolescent Dispositions Scale Youth Version (CADSYV) assesses temperament and personality traits, including dimensions such as Prosociality (with facets like Sympathy, Respect for Rules, and Sociability), Negative Emotionality, and Daring. (CC BY 4.0) [link] Schatschneider, C., Lonigan, C., & Taylor, J. E. (2021). Behavior and Environment Survey Codebook. LDbase. http://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20
The Effortful Control Scale (ECS) evaluates traits related to impulsivity and behavioral regulation. (CC BY 4.0) [link] Schatschneider, C., Lonigan, C., & Taylor, J. E. (2021). Behavior and Environment Survey Codebook. LDbase. http://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20
Friends scale evaluates both positive and negative characteristics of peer relationships. (CC BY 4.0) [link] Schatschneider, C., Lonigan, C., & Taylor, J. E. (2021). Behavior and Environment Survey Codebook. LDbase. http://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20
Positive and Negative Affect Scale (PANAS) measures the trait levels of both positive and negative emotional states. (CC BY 4.0) [link] Schatschneider, C., Lonigan, C., & Taylor, J. E. (2021). Behavior and Environment Survey Codebook. LDbase. http://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20
The Revised Child Anxiety and Depression Scale (RCADS) is a clinical tool used to assess dimensions of anxiety and depression. (CC BY 4.0) [link] Schatschneider, C., Lonigan, C., & Taylor, J. E. (2021). Behavior and Environment Survey Codebook. LDbase. http://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20
The Test Attitude Survey measures levels of test anxiety. (CC BY 4.0) [link] Schatschneider, C., Lonigan, C., & Taylor, J. E. (2021). Behavior and Environment Survey Codebook. LDbase. http://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
NA (NA) [link] Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
Data from fraction subtraction problems. (GPL-3) [link] Tatsuoka, C. (2002). Data analytic methods for latent partially ordered classification models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 51(3), 337-350.
Responses related to abstract fractals (CC-By Attribution 4.0 International) [link] Ovalle-Fresa, R., Di Pietro, S. V., Reber, T. P., Balbi, E., & Rothen, N. (2022). Standardized database of 400 complex abstract fractals. Behavior Research Methods, 54(5), 2302-2317.

Items from Tanzanian Form Two National Assessment & Primary School Leaving Examination (CC0 1.0) [link] Brandt, Kasper, 2022, “Replication Data for: When Private Beats Public: A Flexible Value-Added Model with Tanzanian School Switchers”, https://doi.org/10.7910/DVN/UMNYYR, Harvard Dataverse, V1, UNF:6:/7r9mSRgjyqiFqRGtLx/og== [fileUNF]

Brandt, K. (2023). When private beats public: A flexible value-added model with Tanzanian school switchers. Economic Development and Cultural Change, 72(1), 159-206.
Data from C-tests with a testlet structure (GPL-3) [link] Schroeders, U., Robitzsch, A., & Schipolowski, S. (2014). A Comparison of Different Psychometric Approaches to Modeling Testlet Structures: An Example with C‐Tests. Journal of Educational Measurement, 51(4), 400-418.
Generalized anxiety disorder (CC-By Attribution 4.0 International) [link] de Souza Brümmer, R., Krause, K. R., Salum, G. A., de Almeida Fleck, M. P., Porto, I. M., do Amaral, J. V., … & Hoffmann, M. S. (2024). Beyond frequency: Evaluating the validity of assessing the context, duration, ability and botherement of depression and anxiety symptoms in south Brazil. Psychological Assessment.
Data from mental rotation tasks (GPL-3) [link] Geiser, C., Lehmann, W., & Eid, M. (2006). Separating” rotators” from” nonrotators” in the mental rotations test: A multigroup latent class analysis. Multivariate Behavioral Research, 41(3), 261-293.
Data from an interactive version of the Open Sex-Role Inventory, which measures masculinity and femininity (or gendered personality traits) (CC-BY-NC-SA 4.0) [link] (2019). Open Sex Role Inventory [dataset and codebook]. https://openpsychometrics.org/_rawdata/OSRI44_dev_data.zip
Shortened Sherman Mathematics Attitude Scale (FSMAS), Shortened Biohead-Citizen questionnaire (CC 4.0) [link] Aivelo, T., & Uitto, A. (2020, May 22). Factors explaining students’ attitudes towards learning in genetics and belief in genetic determinism. https://doi.org/10.35542/osf.io/d5hzg
NA (NA) [link] Russell-Lasalandra, L. L., Christensen, A. P., & Golino, H. (2024, September 12). Generative Psychometrics via AI-GENIE: Automatic Item Generation and Validation via Network-Integrated Evaluation. https://doi.org/10.31234/osf.io/fgbj4
LLM-generated big 5 inventory (NA) [link] Russell-Lasalandra, L. L., Christensen, A. P., & Golino, H. (2024, September 12). Generative Psychometrics via AI-GENIE: Automatic Item Generation and Validation via Network-Integrated Evaluation. https://doi.org/10.31234/osf.io/fgbj4
NA (NA) [link] Russell-Lasalandra, L. L., Christensen, A. P., & Golino, H. (2024, September 12). Generative Psychometrics via AI-GENIE: Automatic Item Generation and Validation via Network-Integrated Evaluation. https://doi.org/10.31234/osf.io/fgbj4
NA (NA) [link] Russell-Lasalandra, L. L., Christensen, A. P., & Golino, H. (2024, September 12). Generative Psychometrics via AI-GENIE: Automatic Item Generation and Validation via Network-Integrated Evaluation. https://doi.org/10.31234/osf.io/fgbj4
NA (NA) [link] Russell-Lasalandra, L. L., Christensen, A. P., & Golino, H. (2024, September 12). Generative Psychometrics via AI-GENIE: Automatic Item Generation and Validation via Network-Integrated Evaluation. https://doi.org/10.31234/osf.io/fgbj4
Items testing knowledge of geography (ODbL 1.0) [link] Papoušek, J., Pelánek, R., & Stanislav, V. (2016). Adaptive geography practice data set. Journal of Learning Analytics, 3(2), 317-321.

Reading comprehension data from an RCT (CC BY-NC-SA 4.0) [link] Gilbert, J. B., Kim, J. S., & Miratrix, L. W. (2023). Modeling item-level heterogeneous treatment effects with the explanatory item response model: Leveraging large-scale online assessments to pinpoint the impact of educational interventions. Journal of Educational and Behavioral Statistics, 48(6), 889-913.

Gilbert, Josh, 2023, “Replication Data for: Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions”, https://doi.org/10.7910/DVN/QARRYT, Harvard Dataverse, V2, UNF:6:r+hUHhEPWWtUbcqXyELTJw== [fileUNF]

Reading self-concept following a literacy intervention (CC BY-NC-SA 4.0) [link] Kim, J. S., Relyea, J. E., Burkhauser, M. A., Scherer, E., & Rich, P. (2021). Improving elementary grade students’ science and social studies vocabulary knowledge depth, reading comprehension, and argumentative writing: A conceptual replication. Educational Psychology Review, 1-30.

Kim, James; Relyea, Jackie Eunjung; Burkhauser, Mary A.; Scherer, Ethan; Rich, Patrick, 2021, “Replication Data for: Improving Elementary Grade Students’ Science and Social Studies Vocabulary Knowledge Depth, Reading Comprehension, and Argumentative Writing: A Conceptual Replication”, https://doi.org/10.7910/DVN/HQEMN6, Harvard Dataverse, V1, UNF:6:fM1zIBl88IKxt400zYOJag== [fileUNF]

Vocabulary test following a literacy intervention for grade 1 students (CC BY-NC-SA 4.0) [link] Kim, J. S., Relyea, J. E., Burkhauser, M. A., Scherer, E., & Rich, P. (2021). Improving elementary grade students’ science and social studies vocabulary knowledge depth, reading comprehension, and argumentative writing: A conceptual replication. Educational Psychology Review, 1-30.

Kim, James; Relyea, Jackie Eunjung; Burkhauser, Mary A.; Scherer, Ethan; Rich, Patrick, 2021, “Replication Data for: Improving Elementary Grade Students’ Science and Social Studies Vocabulary Knowledge Depth, Reading Comprehension, and Argumentative Writing: A Conceptual Replication”, https://doi.org/10.7910/DVN/HQEMN6, Harvard Dataverse, V1, UNF:6:fM1zIBl88IKxt400zYOJag== [fileUNF]

Vocabulary test following a literacy intervention for grade 2 students (CC BY-NC-SA 4.0) [link] Kim, J. S., Relyea, J. E., Burkhauser, M. A., Scherer, E., & Rich, P. (2021). Improving elementary grade students’ science and social studies vocabulary knowledge depth, reading comprehension, and argumentative writing: A conceptual replication. Educational Psychology Review, 1-30.

Kim, James; Relyea, Jackie Eunjung; Burkhauser, Mary A.; Scherer, Ethan; Rich, Patrick, 2021, “Replication Data for: Improving Elementary Grade Students’ Science and Social Studies Vocabulary Knowledge Depth, Reading Comprehension, and Argumentative Writing: A Conceptual Replication”, https://doi.org/10.7910/DVN/HQEMN6, Harvard Dataverse, V1, UNF:6:fM1zIBl88IKxt400zYOJag== [fileUNF]

Literacy data from an RCT (CC0 1.0) [link] Romero, M., Sandefur, J., & Sandholtz, W. A. (2020). Outsourcing education: Experimental evidence from Liberia. American Economic Review, 110(2), 364-400.

Romero, Mauricio; Sandefur, Justin; Sandholtz, Wayne, 2018, “Partnership Schools for Liberia”, https://doi.org/10.7910/DVN/5OPIYU, Harvard Dataverse, V4

Math data from an RCT (CC0 1.0) [link] Romero, M., Sandefur, J., & Sandholtz, W. A. (2020). Outsourcing education: Experimental evidence from Liberia. American Economic Review, 110(2), 364-400.

Romero, Mauricio; Sandefur, Justin; Sandholtz, Wayne, 2018, “Partnership Schools for Liberia”, https://doi.org/10.7910/DVN/5OPIYU, Harvard Dataverse, V4

Raven’s matrices from an RCT (CC0 1.0) [link] Romero, M., Sandefur, J., & Sandholtz, W. A. (2020). Outsourcing education: Experimental evidence from Liberia. American Economic Review, 110(2), 364-400.

Romero, Mauricio; Sandefur, Justin; Sandholtz, Wayne, 2018, “Partnership Schools for Liberia”, https://doi.org/10.7910/DVN/5OPIYU, Harvard Dataverse, V4
Math from students in an RCT (CC BY 4.0) [link] de Barros, A., Fajardo-Gonzalez, J., Glewwe, P., & Sankar, A. (2024). The Limitations of Activity-Based Instruction to Improve the Productivity of Schooling. The Economic Journal, 134(659), 959-984.
Math data from students in an RCT (CC BY 4.0) [link] Duflo, A., Kiessel, J., & Lucas, A. M. (2024). Experimental Evidence on Four Policies to Increase Learning at Scale. The Economic Journal, 134(661), 1985-2008.
English data from students in an RCT (CC BY 4.0) [link] Duflo, A., Kiessel, J., & Lucas, A. M. (2024). Experimental Evidence on Four Policies to Increase Learning at Scale. The Economic Journal, 134(661), 1985-2008.
Data from students’ local language in an RCT (CC BY 4.0) [link] Duflo, A., Kiessel, J., & Lucas, A. M. (2024). Experimental Evidence on Four Policies to Increase Learning at Scale. The Economic Journal, 134(661), 1985-2008.

Reading comprehension data from an RCT (CC BY-NC-SA 4.0) [link] Kim, J. S., Burkhauser, M. A., Relyea, J. E., Gilbert, J. B., Scherer, E., Fitzgerald, J., … & McIntyre, J. (2023). A longitudinal randomized trial of a sustained content literacy intervention from first to second grade: Transfer effects on students’ reading comprehension. Journal of Educational Psychology, 115(1), 73.

James S. Kim; Mary A. Burkhauser; Jackie E. Relyea; Joshua B. Gilbert; Ethan Scherer; Jill Fitzgerald; Douglas Mosher; Joseph McIntyre, 2022, “Replication Data for: A Longitudinal Randomized Trial of a Sustained Content Literacy Intervention from First to Second Grade: Transfer Effects on Students’ Reading Comprehension Outcomes”, https://doi.org/10.7910/DVN/LAWFFU, Harvard Dataverse, V2, UNF:6:VATSovKxwaqyJAT6ZzzfBw== [fileUNF]

Math data from students in an RCT (CC0 1.0) [link] Jayanthi, M., Gersten, R., Schumacher, R. F., Dimino, J., Smolkowski, K., & Spallone, S. (2021). Improving struggling fifth-grade students’ understanding of fractions: A randomized controlled trial of an intervention that stresses both concepts and procedures. Exceptional Children, 88(1), 81-100.

Gersten, Russell; Jayanthi, Madhavi; Dimino, Joseph; Karp, Karen, 2019, “Impact of a Tier 2 Fractions Intervention on 5th Grade At-Risk Students’ Fractions Achievement”, https://doi.org/10.7910/DVN/Z4WMFE, Harvard Dataverse, V1, UNF:6:8pMQK/5+cfpvcr4ACTvAmQ== [fileUNF]

Math data from students in an RCT (CC BY 4.0) [link] Davenport, J. L., Kao, Y. S., Johannes, K. N., Hornburg, C. B., & McNeil, N. M. (2023). Improving children’s understanding of mathematical equivalence: An efficacy study. Journal of Research on Educational Effectiveness, 16(4), 615-642.

Davenport, Jodi, McNeil, Nicole, and Kao, Yvonne. Improving Children’s Understanding of Mathematical Equivalence: An Efficacy Study. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-10-27. https://doi.org/10.3886/E182542V1

Attitudes towards savings in an RCT (CC0 1.0) [link] Berry, J., Karlan, D., & Pradhan, M. (2018). The impact of financial education for youth in Ghana. World development, 102, 71-89.

Berry, James; Karlan, Dean; Pradhan, Menno, 2020, “The Impact of Financial Education for Youth in Ghana”, https://doi.org/10.7910/DVN/GDP2YP, Harvard Dataverse, V1
Math outcomes in an RCT (CC BY 4.0) [link] Bang, H. J., Li, L., & Flynn, K. (2023). Efficacy of an adaptive game-based math learning app to support personalized learning and improve early elementary school students’ learning. Early Childhood Education Journal, 51(4), 717-732.
Dietary behavior in children in an RCT (CC0 1.0) [link] Llauradó, E., Tarro, L., Moriña, D., Queral, R., Giralt, M., & Solà, R. (2014). EdAl-2 (Educacio en Alimentacio) programme: reproducibility of a cluster randomised, interventional, primary-school-based study to induce healthier lifestyle activities in children. BMJ open, 4(11), e005496.

Food preferences in children in an RCT (CC0 1.0) [link] Schreinemachers, P., Baliki, G., Shrestha, R. M., Bhattarai, D. R., Gautam, I. P., Ghimire, P. L., … & Brück, T. (2020). Nudging children toward healthier food choices: an experiment combining school and home gardens. Global Food Security, 26, 100454.

Schreinemachers, Pepijn, 2020, “Replication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens”, https://doi.org/10.7910/DVN/VNLWCB, Harvard Dataverse, V1, UNF:6:lQUiR3llydZdCQ8swDDrXw== [fileUNF]

Food knowledge in children in an RCT (CC0 1.0) [link] Schreinemachers, P., Baliki, G., Shrestha, R. M., Bhattarai, D. R., Gautam, I. P., Ghimire, P. L., … & Brück, T. (2020). Nudging children toward healthier food choices: an experiment combining school and home gardens. Global Food Security, 26, 100454.

Schreinemachers, Pepijn, 2020, “Replication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens”, https://doi.org/10.7910/DVN/VNLWCB, Harvard Dataverse, V1, UNF:6:lQUiR3llydZdCQ8swDDrXw== [fileUNF]

Mothers’ language in an RCT (CC0 1.0) [link] Banerji, R., Berry, J., & Shotland, M. (2017). The impact of maternal literacy and participation programs: Evidence from a randomized evaluation in India. American Economic Journal: Applied Economics, 9(4), 303-337.

Banerji, Rukmini; Berry, James; Shotland, Marc, 2017, “The Impact of Maternal Literacy and Participation Programs: Evidence from a Randomized Evaluation in India”, https://doi.org/10.7910/DVN/19PPE7, Harvard Dataverse, V1

Mother’s math in an RCT (CC0 1.0) [link] Banerji, R., Berry, J., & Shotland, M. (2017). The impact of maternal literacy and participation programs: Evidence from a randomized evaluation in India. American Economic Journal: Applied Economics, 9(4), 303-337.

Banerji, Rukmini; Berry, James; Shotland, Marc, 2017, “The Impact of Maternal Literacy and Participation Programs: Evidence from a Randomized Evaluation in India”, https://doi.org/10.7910/DVN/19PPE7, Harvard Dataverse, V1

Children’s language in an RCT (CC0 1.0) [link] Banerji, R., Berry, J., & Shotland, M. (2017). The impact of maternal literacy and participation programs: Evidence from a randomized evaluation in India. American Economic Journal: Applied Economics, 9(4), 303-337.

Banerji, Rukmini; Berry, James; Shotland, Marc, 2017, “The Impact of Maternal Literacy and Participation Programs: Evidence from a Randomized Evaluation in India”, https://doi.org/10.7910/DVN/19PPE7, Harvard Dataverse, V1

Children’s math in an RCT (CC0 1.0) [link] Banerji, R., Berry, J., & Shotland, M. (2017). The impact of maternal literacy and participation programs: Evidence from a randomized evaluation in India. American Economic Journal: Applied Economics, 9(4), 303-337.

Banerji, Rukmini; Berry, James; Shotland, Marc, 2017, “The Impact of Maternal Literacy and Participation Programs: Evidence from a Randomized Evaluation in India”, https://doi.org/10.7910/DVN/19PPE7, Harvard Dataverse, V1

Academic achievement in an RCT (CC BY-NC-SA 4.0) [link] Duflo, E., Berry, J., Mukerji, S., & Shotland, M. (2015). A wide angle view of learning: Evaluation of the CCE and LEP programmes in Haryana, India. 3ie Impact Evaluation Report, 22.

Duflo, Esther; Berry, James; Shotland, Marc; Mukherjee, Shobhini, 2019, “A Wide Angle View of Learning: Evaluation of the CCE and LEP Programmes in Haryana, India”, https://doi.org/10.7910/DVN/IS7YLY, Harvard Dataverse, V1, UNF:6:SrReR5kXPXeHdExs5WybIA== [fileUNF]
Math in an RCT (CC BY NC 3.0) [link] Maruyama, T. (2022). Strengthening Support of Teachers for Students to Improve Learning Outcomes in Mathematics: Empirical Evidence on a Structured Pedagogy Program in El Salvador. International Journal of Educational Research, 115, 101977.

Social trust in an RCT (CC BY-NC-SA 4.0) [link] Aladysheva, A., Asylbek Kyzy, G., Brück, T., Esenaliev, D., Karabaeva, J., Leung, W., & Nillesen, E. (2019). Impact evaluation of the Livingsidebyside peacebuilding educational programme in Kyrgyzstan. Grantee Final Report.

Esenaliev, Damir; Aladysheva, Anastasia; Asylbek kyzy, Gulzhan; Brück, Tilman; Karabaeva, Jamilya; Leung, Winnie; Nillesen, Eleonora, 2019, “Impact evaluation of the Livingsidebyside peacebuilding educational programme in Kyrgyzstan”, https://doi.org/10.7910/DVN/L3TSNX, Harvard Dataverse, V1, UNF:6:7/93oxdKPTID2wgRdrVjXw== [fileUNF]

Depression in an RCT (CC BY 4.0) [link] Angelucci, M., & Bennett, D. (2024). The economic impact of depression treatment in india: Evidence from community-based provision of pharmacotherapy. American economic review, 114(1), 169-198.

Bennett, Daniel, and Angelucci, Manuela. Data and Code for “The Economic Impact of Depression Treatment in India: Evidence from Community-Based Provision of Pharmacotherapy.” Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-12-22. https://doi.org/10.3886/E191402V1 <button id=“cite-button-gilbert_meta_34” class=“citation-button” onclick=“getCitation(@misc{https://doi.org/10.3886/e191402v1, doi = {10.3886/E191402V1}, url = {https://www.openicpsr.org/openicpsr/project/191402/version/V1/view}, author = {Bennett, Daniel and Angelucci, Manuela}, keywords = {Depression, Health, Poverty}, language = {en}, title = {Data and Code for "The Economic Impact of Depression Treatment in India: Evidence from Community-Based Provision of Pharmacotherapy"}, publisher = {ICPSR - Interuniversity Consortium for Political and Social Research}, year = {2023} }, ‘cite-button-gilbert_meta_34’, ‘cite-text-gilbert_meta_34’)”> Get BibTex

Democratic values in an RCT (CC0 1.0) [link] Persson, M., Andersson, K., Zetterberg, P., Ekman, J., & Lundin, S. (2020). Does deliberative education increase civic competence? Results from a field experiment. Journal of Experimental Political Science, 7(3), 199-208.

Persson, Mikael; Andersson, Klas; Zetterberg, Pär; Lundin, Simon; Ekman, Joakim, 2019, “Does Deliberative Education Increase Civic Competence? Results from a Field Experiment”, https://doi.org/10.7910/DVN/UMRAM7, Harvard Dataverse, V1, UNF:6:GvZwO7WQe9glMDMZb5eBnQ== [fileUNF]

Political knowledge in an RCT (CC0 1.0) [link] Persson, M., Andersson, K., Zetterberg, P., Ekman, J., & Lundin, S. (2020). Does deliberative education increase civic competence? Results from a field experiment. Journal of Experimental Political Science, 7(3), 199-208.

Persson, Mikael; Andersson, Klas; Zetterberg, Pär; Lundin, Simon; Ekman, Joakim, 2019, “Does Deliberative Education Increase Civic Competence? Results from a Field Experiment”, https://doi.org/10.7910/DVN/UMRAM7, Harvard Dataverse, V1, UNF:6:GvZwO7WQe9glMDMZb5eBnQ== [fileUNF]

Health knowledge in an RCT (CC0 1.0) [link] Carpena, F. (2024). Entertainment-Education for Better Health: Insights from a Field Experiment in India. The Journal of Development Studies, 60(5), 745-762.

Carpena, Fenella, 2024, “Replication Data for: Entertainment-Education for Better Health: Insights from a Field Experiment in India”, https://doi.org/10.7910/DVN/EJ03JR, Harvard Dataverse, V1, UNF:6:pX0ZhtBxkRpvQC6AOfVg4g== [fileUNF]

Health behavior in an RCT (CC0 1.0) [link] Carpena, F. (2024). Entertainment-Education for Better Health: Insights from a Field Experiment in India. The Journal of Development Studies, 60(5), 745-762.

Carpena, Fenella, 2024, “Replication Data for: Entertainment-Education for Better Health: Insights from a Field Experiment in India”, https://doi.org/10.7910/DVN/EJ03JR, Harvard Dataverse, V1, UNF:6:pX0ZhtBxkRpvQC6AOfVg4g== [fileUNF]

Cognitive test in an RCT (CC0 1.0) [link] Berry, J., Kim, H. B., & Son, H. H. (2022). When student incentives do not work: Evidence from a field experiment in Malawi. Journal of Development Economics, 158, 102893.

Berry, James; Kim, Hyuncheol Bryant; Son, Hyuk Harry, 2021, “Replication Data for: When Student Incentives Don’t Work: Evidence from a Field Experiment in Malawi”, https://doi.org/10.7910/DVN/FXL7JW, Harvard Dataverse, V1, UNF:6:Jdmc919H5J9CPJ3R3yql2Q== [fileUNF]

Measures of noncognitive skills in criminally engaged men (CC 4.0) [link] Blattman, C., Jamison, J. C., & Sheridan, M. (2017). Reducing crime and violence: Experimental evidence from cognitive behavioral therapy in Liberia. American Economic Review, 107(4), 1165-1206.

Blattman, Christopher, Jamison, Julian C., and Sheridan, Margaret. Replication data for: Reducing Crime and Violence: Experimental Evidence from Cognitive Behavioral Therapy in Liberia. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113056V1

Computation in an RCT (CC0 1.0) [link] Berry, J., Kim, H. B., & Son, H. H. (2022). When student incentives do not work: Evidence from a field experiment in Malawi. Journal of Development Economics, 158, 102893.

Berry, James; Kim, Hyuncheol Bryant; Son, Hyuk Harry, 2021, “Replication Data for: When Student Incentives Don’t Work: Evidence from a Field Experiment in Malawi”, https://doi.org/10.7910/DVN/FXL7JW, Harvard Dataverse, V1, UNF:6:Jdmc919H5J9CPJ3R3yql2Q== [fileUNF]

Oral reading fluency in an RCT (CC0 1.0) [link] Mohohlwane, N., Taylor, S., Cilliers, J., & Fleisch, B. (2023). Reading Skills Transfer Best from Home Language to a Second Language: Policy Lessons from Two Field Experiments in South Africa. Journal of Research on Educational Effectiveness, 1-24.

Cilliers, Jacobus, 2023, “Replication Data for: Reading skills transfer best from home language to a second language: Policy lessons from two field experiments in South Africa”, https://doi.org/10.7910/DVN/RSUADW, Harvard Dataverse, V1, UNF:6:l9QaDnpzAdVSS50zf+HCUA== [fileUNF]

Mental health in an RCT (CC BY 4.0) [link] Hussam, R., Kelley, E. M., Lane, G., & Zahra, F. (2022). The psychosocial value of employment: Evidence from a refugee camp. American Economic Review, 112(11), 3694-3724.

Hussam, Reshmaan, Kelley, Erin, Lane, Gregory, and Zahra, Fatima. Data and Code for: THE PSYCHOSOCIAL VALUE OF EMPLOYMENT: EVIDENCE FROM A REFUGEE CAMP. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-10-19. https://doi.org/10.3886/E174781V1

Cognitive testing in an RCT (CC BY 4.0) [link] Hussam, R., Kelley, E. M., Lane, G., & Zahra, F. (2022). The psychosocial value of employment: Evidence from a refugee camp. American Economic Review, 112(11), 3694-3724.

Hussam, Reshmaan, Kelley, Erin, Lane, Gregory, and Zahra, Fatima. Data and Code for: THE PSYCHOSOCIAL VALUE OF EMPLOYMENT: EVIDENCE FROM A REFUGEE CAMP. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-10-19. https://doi.org/10.3886/E174781V1
Mental health in an RCT (CC BY-NC 4.0) [link] https://onlinelibrary.wiley.com/doi/abs/10.1002/gps.5616

Burnout and depression in an RCT (CC0 1.0) [link] Bateman, M. E., Hammer, R., Byrne, A., Ravindran, N., Chiurco, J., Lasky, S., … & Denson, J. L. (2020). Death Cafés for prevention of burnout in intensive care unit employees: study protocol for a randomized controlled trial (STOPTHEBURN). Trials, 21, 1-9.

Bateman, Marjorie, 2023, “STOPTHEBURN Randomized Controlled Trial Data”, https://doi.org/10.7910/DVN/DIU6BU, Harvard Dataverse, V1
Language in an RCT (CC BY 4.0) [link] https://peerj.com/articles/15499/
Math in an RCT (CC BY 4.0) [link] https://peerj.com/articles/15499/

Child Development (ASQ-3) in an RCT (CC0 1.0) [link] Cárdenas, S., Evans, D. K., & Holland, P. (2024). Parent Training and Child Development at Low Cost? Evidence from a Randomized Field Experiment in Mexico. Journal of Research in Childhood Education, 38(sup1), S130-S160.

Cárdenas, Sergio; Evans, David K., 2023, “Replication Data for: Parent Training and Child Development at Low Cost? Evidence from a Randomized Field Experiment in Mexico”, https://doi.org/10.7910/DVN/3SF36J, Harvard Dataverse, V1, UNF:6:ELq4mFwQ5WEbcqa/pVTTcQ== [fileUNF]
Psychological Distress (SRQ-20) in an RCT (CC BY 4.0) [link] https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-017-2299-3
Health literacy quiz in an intervention (CC BY 4.0) [link] Woods-Townsend, K., Hardy-Johnson, P., Bagust, L., Barker, M., Davey, H., Griffiths, J., … & Inskip, H. (2021). A cluster-randomised controlled trial of the LifeLab education intervention to improve health literacy in adolescents. PLoS One, 16(5), e0250545.

Parenting beliefs in an RCT (CC0 1.0) [link] Luo, R., Emmers, D., Warrinnier, N., Rozelle, S., & Sylvia, S. (2019). Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial. Social Science & Medicine, 239, 112545.

Sylvia, Sean, 2019, “Replication Data for:”Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial”“, https://doi.org/10.7910/DVN/XBGUUL, Harvard Dataverse, V1, UNF:6:td3g6/8ll+JxfvV+pem3lA== [fileUNF] <button id=”cite-button-gilbert_meta_50” class=“citation-button” onclick=“getCitation(@misc{https://doi.org/10.7910/dvn/xbguul, doi = {10.7910/DVN/XBGUUL}, url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/XBGUUL}, author = {Sylvia, Sean and {Renfu Luo} and Emmers, Dorien and Warriennier, Nele and Rozelle, Scott}, keywords = {Medicine, Health and Life Sciences, Social Sciences}, title = {Replication Data for: "Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial"}, publisher = {Harvard Dataverse}, year = {2019} }, ‘cite-button-gilbert_meta_50’, ‘cite-text-gilbert_meta_50’)”> Get BibTex

Feeding practices in an RCT (CC0 1.0) [link] Luo, R., Emmers, D., Warrinnier, N., Rozelle, S., & Sylvia, S. (2019). Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial. Social Science & Medicine, 239, 112545.

Sylvia, Sean, 2019, “Replication Data for:”Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial”“, https://doi.org/10.7910/DVN/XBGUUL, Harvard Dataverse, V1, UNF:6:td3g6/8ll+JxfvV+pem3lA== [fileUNF] <button id=”cite-button-gilbert_meta_51” class=“citation-button” onclick=“getCitation(@misc{https://doi.org/10.7910/dvn/xbguul, doi = {10.7910/DVN/XBGUUL}, url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/XBGUUL}, author = {Sylvia, Sean and {Renfu Luo} and Emmers, Dorien and Warriennier, Nele and Rozelle, Scott}, keywords = {Medicine, Health and Life Sciences, Social Sciences}, title = {Replication Data for: "Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial"}, publisher = {Harvard Dataverse}, year = {2019} }, ‘cite-button-gilbert_meta_51’, ‘cite-text-gilbert_meta_51’)”> Get BibTex
COVID symptons in an RCT (CC BY 4.0) [link] https://doi.org/10.1126/science.abi9069

Women’s empowerment in an RCT (CC0 1.0) [link] Saha, A., Dixit, A., Shankar, L., Battala, M., Khan, N., Saggurti, N., … & Howard, S. (2023). Study protocol for an individually randomized control trial for India’s first roleplay-based mobile game for reproductive health for adolescent girls. Reproductive Health, 20(1), 140.

Raj, Aparna; Dixit, Anvita; Saha, Ananya; Shankar, Lalita; Howard, Susan; Battala, Madhusudana; Khan, Nizamuddin; Saggurti, Niranjan, 2024, “Go Nisha Go Randomized Controlled Trial (R4S study #1.11)”, https://doi.org/10.7910/DVN/0TS1LX, Harvard Dataverse, V1, UNF:6:hoNbY3jVad2x1yxVowFamA== [fileUNF]

Consent in an RCT (CC0 1.0) [link] Saha, A., Dixit, A., Shankar, L., Battala, M., Khan, N., Saggurti, N., … & Howard, S. (2023). Study protocol for an individually randomized control trial for India’s first roleplay-based mobile game for reproductive health for adolescent girls. Reproductive Health, 20(1), 140.

Raj, Aparna; Dixit, Anvita; Saha, Ananya; Shankar, Lalita; Howard, Susan; Battala, Madhusudana; Khan, Nizamuddin; Saggurti, Niranjan, 2024, “Go Nisha Go Randomized Controlled Trial (R4S study #1.11)”, https://doi.org/10.7910/DVN/0TS1LX, Harvard Dataverse, V1, UNF:6:hoNbY3jVad2x1yxVowFamA== [fileUNF]

Academic achievement in an RCT (CC0 1.0) [link] Wang, L. C., Vlassopoulos, M., Islam, A., & Hassan, H. (2024). Delivering remote learning using a low-tech solution: Evidence from a randomized controlled trial in Bangladesh. Journal of Political Economy Microeconomics, 2(3), 562-601.

Wang, Liang Choon; Vlassopoulos, Michael; Islam, Asad; Hassan, Hashibul, 2024, “Replication Data for:”Delivering Remote Learning Using a Low-tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh”“, https://doi.org/10.7910/DVN/GB61G4, Harvard Dataverse, V1, UNF:6:5atNk5pGBx6Kp0cFm40ZlQ== [fileUNF] <button id=”cite-button-gilbert_meta_55” class=“citation-button” onclick=“getCitation(@misc{https://doi.org/10.7910/dvn/gb61g4, doi = {10.7910/DVN/GB61G4}, url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/GB61G4}, author = {Wang, Liang Choon and Vlassopoulos, Michael and Islam, Asad and Hassan, Hashibul}, keywords = {Social Sciences, School closures, Remote education, Interactive Voice Response (IVR), Covid-19, Randomized Controlled Trial, Bangladesh}, title = {Replication Data for: "Delivering Remote Learning Using a Low-tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh"}, publisher = {Harvard Dataverse}, year = {2024} }, ‘cite-button-gilbert_meta_55’, ‘cite-text-gilbert_meta_55’)”> Get BibTex

Literacy in an RCT (CC0 1.0) [link] https://riseprogramme.org/sites/default/files/inline-files/Rudasingwa_Improving_Reading_Proficiency_ECE_Liberia.pdf

Sebele, Michael; McManus, Jeffery; Rudasingwa, Mico, 2023, “Replication Data for: Improving reading proficiency in early childhood education classrooms, Evidence from Liberia”, https://doi.org/10.7910/DVN/ZSRO4X, Harvard Dataverse, V1, UNF:6:9noRP6CDtDIYblAyUBX+7A== [fileUNF]

Depression (PHQ-9) in an RCT (CC0 1.0) [link] Maselko, J., Sikander, S., Turner, E. L., Bates, L. M., Ahmad, I., Atif, N., … & Rahman, A. (2020). Effectiveness of a peer-delivered, psychosocial intervention on maternal depression and child development at 3 years postnatal: a cluster randomised trial in Pakistan. The Lancet Psychiatry, 7(9), 775-787.

John Gallis; Kate Sanborn; Elizabeth Turner, 2024, “Bachpan Study of Maternal Depression and Child Development: Data from the First Three Years”, https://doi.org/10.7910/DVN/IJE2PC, Harvard Dataverse, V1, UNF:6:U0IAdDMyTiu9YZU+M6Z6kw== [fileUNF]

Depression (SCID) in an RCT (CC0 1.0) [link] Maselko, J., Sikander, S., Turner, E. L., Bates, L. M., Ahmad, I., Atif, N., … & Rahman, A. (2020). Effectiveness of a peer-delivered, psychosocial intervention on maternal depression and child development at 3 years postnatal: a cluster randomised trial in Pakistan. The Lancet Psychiatry, 7(9), 775-787.

John Gallis; Kate Sanborn; Elizabeth Turner, 2024, “Bachpan Study of Maternal Depression and Child Development: Data from the First Three Years”, https://doi.org/10.7910/DVN/IJE2PC, Harvard Dataverse, V1, UNF:6:U0IAdDMyTiu9YZU+M6Z6kw== [fileUNF]

Stress (PSS) in an RCT (CC0 1.0) [link] Maselko, J., Sikander, S., Turner, E. L., Bates, L. M., Ahmad, I., Atif, N., … & Rahman, A. (2020). Effectiveness of a peer-delivered, psychosocial intervention on maternal depression and child development at 3 years postnatal: a cluster randomised trial in Pakistan. The Lancet Psychiatry, 7(9), 775-787.

John Gallis; Kate Sanborn; Elizabeth Turner, 2024, “Bachpan Study of Maternal Depression and Child Development: Data from the First Three Years”, https://doi.org/10.7910/DVN/IJE2PC, Harvard Dataverse, V1, UNF:6:U0IAdDMyTiu9YZU+M6Z6kw== [fileUNF]

Student financial proficiency (CC BY 4.0) [link] Bruhn, M., de Souza Leão, L., Legovini, A., Marchetti, R., & Zia, B. (2016). The impact of high school financial education: Evidence from a large-scale evaluation in Brazil. American Economic Journal: Applied Economics, 8(4), 256-295.

Bruhn, Miriam, Leão, Luciana de Souza, Legovini, Arianna, Marchetti, Rogelio, and Zia, Bilal. Replication data for: The Impact of High School Financial Education: Evidence from a Large-Scale Evaluation in Brazil. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116339V1

Pro-government attitudes in an RCT (CC0 1.0) [link] Lyall, J., Zhou, Y. Y., & Imai, K. (2020). Can economic assistance shape combatant support in wartime? Experimental evidence from Afghanistan. American Political Science Review, 114(1), 126-143.

Zhou, Yang-Yang; Lyall, Jason; Imai, Kosuke, 2019, “Replication Data for: Can Economic Assistance Shape Combatant Support in Wartime? Experimental Evidence from Afghanistan”, https://doi.org/10.7910/DVN/AQHPTT, Harvard Dataverse, V1

Attitudes about violence in an RCT (CC0 1.0) [link] Lyall, J., Zhou, Y. Y., & Imai, K. (2020). Can economic assistance shape combatant support in wartime? Experimental evidence from Afghanistan. American Political Science Review, 114(1), 126-143.

Zhou, Yang-Yang; Lyall, Jason; Imai, Kosuke, 2019, “Replication Data for: Can Economic Assistance Shape Combatant Support in Wartime? Experimental Evidence from Afghanistan”, https://doi.org/10.7910/DVN/AQHPTT, Harvard Dataverse, V1

Depression in an RCT (CC0 1.0) [link] Wilson-Barthes, M., Steingrimsson, J., Lee, Y., Tran, D. N., Wachira, J., Kafu, C., … & Galárraga, O. (2024). Economic outcomes among microfinance group members receiving community-based chronic disease care: Cluster randomized trial evidence from Kenya. Social Science & Medicine, 351, 116993.

Wilson-Barthes, Marta; Jon Steingrimsson; Youjin Lee; Dan N Tran; Juddy Wachira; Catherine Kafu; Sonak D Pastakia; Rajesh Vedanthan; Jamil Alarik Said; Becky L Genberg; Omar Galarraga, 2024, “Economic Outcomes Among Microfinance Group Members Receiving Community-based Chronic Disease Care: Cluster Randomized Trial Evidence From Kenya”, https://doi.org/10.7910/DVN/SLUA08, Harvard Dataverse, V5, UNF:6:xiUNCRyFbYO4Aw2ZjDzawA== [fileUNF]

Indebtedness in an RCT (CC0 1.0) [link] Hoffmann, V., Rao, V., Datta, U., Sanyal, P., Surendra, V., & Majumdar, S. (2018). Poverty and empowerment impacts of the Bihar rural livelihoods project in India. International Initiative for Impact Evaluation (3ie), New Delhi.

Datta, Upamanyu; Rao, Vijayendra, 2018, “Jeevika Livelihoods Project Phase 2 Evaluation (RCT), Bihar, India - Baseline and Endline Household And Village Data 2011-2014”, https://doi.org/10.7910/DVN/6PAHVM, Harvard Dataverse, V1, UNF:6:3gYkrCWUL5FVEpKCSMQXaA== [fileUNF]

Socioemotional learning in an RCT (CC0 1.0) [link] TIES for Children, Global (2023). Lessons and Impacts of Ahlan Simsim TV Program in Pre-Primary Classrooms in Jordan on Children’s Emotional Development: A Randomized Controlled Trial. figshare. Preprint. https://doi.org/10.6084/m9.figshare.22802576

Zhao, Vicky Yiran; Hilgendorf, Dennis; Yoshikawa, Hirokazu; Michael, Duja, 2024, “Replication Data for: Impacts of Ahlan Simsim TV Program in Pre-Primary Classrooms in Jordan on Children’s Emotional Development: A Randomized Controlled Trial”, https://doi.org/10.7910/DVN/YTLX91, Harvard Dataverse, V1
Mental health literacy in an RCT (CC BY 4.0) [link] https://www.sciencedirect.com/science/article/pii/S2212657023000016?via%3Dihub
General Help Seeking Questionnaire (GHSQ) in an RCT (CC BY 4.0) [link] https://www.sciencedirect.com/science/article/pii/S2212657023000016?via%3Dihub
Mental Health Stigma in an RCT (CC BY 4.0) [link] https://www.sciencedirect.com/science/article/pii/S2212657023000016?via%3Dihub

Hindi outcomes in an RCT (CC0 1.0) [link] Banerjee, A., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S., … & Walton, M. (2017). From proof of concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73-102.

Banerjee, Abhijit; Banerji, Rukmini; Duflo, Esther; Kannan, Harini; Mukerji, Shobhini; Shotland, Marc; Berry, James; Walton, Michael, 2017, “Raw and Replication Data for: ‘From Proof of Concept to Scalable Policies’ and ‘Mainstreaming an Effective Intervention’”, https://doi.org/10.7910/DVN/DUBA3J, Harvard Dataverse, V7, UNF:6:6Ch1ala9EZ8xITxlcjRckg== [fileUNF]

Math outcomes in an RCT (CC0 1.0) [link] Banerjee, A., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S., … & Walton, M. (2017). From proof of concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73-102.

Banerjee, Abhijit; Banerji, Rukmini; Duflo, Esther; Kannan, Harini; Mukerji, Shobhini; Shotland, Marc; Berry, James; Walton, Michael, 2017, “Raw and Replication Data for: ‘From Proof of Concept to Scalable Policies’ and ‘Mainstreaming an Effective Intervention’”, https://doi.org/10.7910/DVN/DUBA3J, Harvard Dataverse, V7, UNF:6:6Ch1ala9EZ8xITxlcjRckg== [fileUNF]

Vocabulary test following a reading intervention (CC BY-NC-SA 4.0) [link] Kim, J. S., Gilbert, J. B., Relyea, J. E., Rich, P., Scherer, E., Burkhauser, M. A., & Tvedt, J. N. (2024). Time to transfer: Long-term effects of a sustained and spiraled content literacy intervention in the elementary grades.Developmental Psychology. Advance online publication. https://doi.org/10.1037/dev0001710

Kim, James S; Gilbert, Joshua B.; Relyea, Jackie E.; Rich, Patrick; Scherer, Ethan; Burkhauser, Mary A.; Tvedt, Johanna N., 2023, “Replication Data for: Time to Transfer: Long-Term Effects of a Sustained and Spiraled Content Literacy Intervention in the Elementary Grades”, https://doi.org/10.7910/DVN/RKBVKY, Harvard Dataverse, V2, UNF:6:8Bs7YiYfLGBG85OmnX3qpw== [fileUNF]

Hindi outcomes in an RCT (CC0 1.0) [link] Banerjee, A., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S., … & Walton, M. (2017). From proof of concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73-102.

Banerjee, Abhijit; Banerji, Rukmini; Duflo, Esther; Kannan, Harini; Mukerji, Shobhini; Shotland, Marc; Berry, James; Walton, Michael, 2017, “Raw and Replication Data for: ‘From Proof of Concept to Scalable Policies’ and ‘Mainstreaming an Effective Intervention’”, https://doi.org/10.7910/DVN/DUBA3J, Harvard Dataverse, V7, UNF:6:6Ch1ala9EZ8xITxlcjRckg== [fileUNF]

Math outcomes in an RCT (CC0 1.0) [link] Banerjee, A., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S., … & Walton, M. (2017). From proof of concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73-102.

Banerjee, Abhijit; Banerji, Rukmini; Duflo, Esther; Kannan, Harini; Mukerji, Shobhini; Shotland, Marc; Berry, James; Walton, Michael, 2017, “Raw and Replication Data for: ‘From Proof of Concept to Scalable Policies’ and ‘Mainstreaming an Effective Intervention’”, https://doi.org/10.7910/DVN/DUBA3J, Harvard Dataverse, V7, UNF:6:6Ch1ala9EZ8xITxlcjRckg== [fileUNF]

Hindi outcomes in an RCT (CC0 1.0) [link] Banerjee, A., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S., … & Walton, M. (2017). From proof of concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73-102.

Banerjee, Abhijit; Banerji, Rukmini; Duflo, Esther; Kannan, Harini; Mukerji, Shobhini; Shotland, Marc; Berry, James; Walton, Michael, 2017, “Raw and Replication Data for: ‘From Proof of Concept to Scalable Policies’ and ‘Mainstreaming an Effective Intervention’”, https://doi.org/10.7910/DVN/DUBA3J, Harvard Dataverse, V7, UNF:6:6Ch1ala9EZ8xITxlcjRckg== [fileUNF]

Math outcomes in an RCT (CC0 1.0) [link] Banerjee, A., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S., … & Walton, M. (2017). From proof of concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73-102.

Banerjee, Abhijit; Banerji, Rukmini; Duflo, Esther; Kannan, Harini; Mukerji, Shobhini; Shotland, Marc; Berry, James; Walton, Michael, 2017, “Raw and Replication Data for: ‘From Proof of Concept to Scalable Policies’ and ‘Mainstreaming an Effective Intervention’”, https://doi.org/10.7910/DVN/DUBA3J, Harvard Dataverse, V7, UNF:6:6Ch1ala9EZ8xITxlcjRckg== [fileUNF]

Assessment from a literacy intervention (CC BY-NC-SA 4.0) [link] Gilbert, J. B., Kim, J. S., & Miratrix, L. W. (2024). Leveraging item parameter drift to assess transfer effects in vocabulary learning. Applied Measurement in Education, 37(3), 240-257.

Gilbert, Josh; Kim, James; Miratrix, Luke, 2024, “Replication Data for: Leveraging Item Parameter Drift to Assess Transfer Effects in Vocabulary Learning”, https://doi.org/10.7910/DVN/ZF1LKZ, Harvard Dataverse, V2, UNF:6:A83pi+tE9hP611HoBh7Pug== [fileUNF]

Measure of political engagement (CC0 1.0) [link] Baron, Hannah; Blair, Robert A.; Choi, Donghyun Danny; Gamboa, Laura; Gottlieb, Jessica; Robinson, Amanda Lea; Rosenzweig, Steven C.; Turnbull, Megan M.; West, Emily A.,

Baron, H., Blair, R., Choi, D. D., Gamboa, L., Gottlieb, J., Robinson, A. L., … West, E. A. (2021, May 10). Couples Therapy for a Divided America: Assessing the Effects of Reciprocal Group Reflection on Partisan Polarization. https://doi.org/10.31219/osf.io/3x7z82024, “Replication Data for: Couples Therapy for a Divided America: Assessing the Effects of Reciprocal Group Reflection on Partisan Polarization”, https://doi.org/10.7910/DVN/ZDFX1V, Harvard Dataverse, V1, UNF:6:M6GILdegwYjp+ggogy1yMg== [fileUNF]
Test of Early Mathematics Ability, third edition, or TEMA-3 (NA) [link] Thai, K. P., Bang, H. J., & Li, L. (2022). Accelerating early math learning with research-based personalized learning games: A cluster randomized controlled trial. Journal of Research on Educational Effectiveness, 15(1), 28-51.
Clinical Evaluation of Language Fundamentals—Fourth Edition Sentence Structure subtest (NA) [link] Cabell, S. Q., Kim, J. S., White, T. G., Gale, C. J., Edwards, A. A., Hwang, H., … & Raines, R. M. (2024). Impact of a content-rich literacy curriculum on kindergarteners’ vocabulary, listening comprehension, and content knowledge. Journal of Educational Psychology.
Peabody Picture Vocabulary Test—Fourth Edition (NA) [link] Cabell, S. Q., Kim, J. S., White, T. G., Gale, C. J., Edwards, A. A., Hwang, H., … & Raines, R. M. (2024). Impact of a content-rich literacy curriculum on kindergarteners’ vocabulary, listening comprehension, and content knowledge. Journal of Educational Psychology.
Test of Narrative Language (NA) [link] Cabell, S. Q., Kim, J. S., White, T. G., Gale, C. J., Edwards, A. A., Hwang, H., … & Raines, R. M. (2024). Impact of a content-rich literacy curriculum on kindergarteners’ vocabulary, listening comprehension, and content knowledge. Journal of Educational Psychology.

Comprehension test following a reading intervention (CC BY-NC-SA 4.0) [link] Kim, J. S., Gilbert, J. B., Relyea, J. E., Rich, P., Scherer, E., Burkhauser, M. A., & Tvedt, J. N. (2024). Time to transfer: Long-term effects of a sustained and spiraled content literacy intervention in the elementary grades.Developmental Psychology. Advance online publication. https://doi.org/10.1037/dev0001710

Kim, James S; Gilbert, Joshua B.; Relyea, Jackie E.; Rich, Patrick; Scherer, Ethan; Burkhauser, Mary A.; Tvedt, Johanna N., 2023, “Replication Data for: Time to Transfer: Long-Term Effects of a Sustained and Spiraled Content Literacy Intervention in the Elementary Grades”, https://doi.org/10.7910/DVN/RKBVKY, Harvard Dataverse, V2, UNF:6:8Bs7YiYfLGBG85OmnX3qpw== [fileUNF]
Woodcock–Johnson III Tests of Achievement Picture Vocabulary subtest (NA) [link] Cabell, S. Q., Kim, J. S., White, T. G., Gale, C. J., Edwards, A. A., Hwang, H., … & Raines, R. M. (2024). Impact of a content-rich literacy curriculum on kindergarteners’ vocabulary, listening comprehension, and content knowledge. Journal of Educational Psychology.
Woodcock–Johnson Tests of Achievement Science subtest (NA) [link] Cabell, S. Q., Kim, J. S., White, T. G., Gale, C. J., Edwards, A. A., Hwang, H., … & Raines, R. M. (2024). Impact of a content-rich literacy curriculum on kindergarteners’ vocabulary, listening comprehension, and content knowledge. Journal of Educational Psychology.
Woodcock–Johnson Tests of Achievement Social Studies subtest (NA) [link] Cabell, S. Q., Kim, J. S., White, T. G., Gale, C. J., Edwards, A. A., Hwang, H., … & Raines, R. M. (2024). Impact of a content-rich literacy curriculum on kindergarteners’ vocabulary, listening comprehension, and content knowledge. Journal of Educational Psychology.
Cognitive Openness (NA) [link] Krakowski, Krzysztof; Clemm von Hohenberg, Bernhard; Morisi, Davide, 2025, “Replication Data for: Does School Debating Reduce Vulnerability to Misinformation? A Field Experiment in Poland”, https://doi.org/10.7910/DVN/OUI9LS, Harvard Dataverse, V1, UNF:6:wszDijH9TS3y7CCrKAwiug== [fileUNF]
Conspiracy Beliefs (NA) [link] Krakowski, Krzysztof; Clemm von Hohenberg, Bernhard; Morisi, Davide, 2025, “Replication Data for: Does School Debating Reduce Vulnerability to Misinformation? A Field Experiment in Poland”, https://doi.org/10.7910/DVN/OUI9LS, Harvard Dataverse, V1, UNF:6:wszDijH9TS3y7CCrKAwiug== [fileUNF]
Trust in Media (NA) [link] Krakowski, Krzysztof; Clemm von Hohenberg, Bernhard; Morisi, Davide, 2025, “Replication Data for: Does School Debating Reduce Vulnerability to Misinformation? A Field Experiment in Poland”, https://doi.org/10.7910/DVN/OUI9LS, Harvard Dataverse, V1, UNF:6:wszDijH9TS3y7CCrKAwiug== [fileUNF]

political trust (NA) [link] Trexler, Andrew, 2025, “Replication Data for:”The Minimal Effects of Making Local News Free: Evidence from a Field Experiment”“, https://doi.org/10.7910/DVN/NWKSHA, Harvard Dataverse, V1, UNF:6:A5Mj0NI8CIQ9vOTFJjRjNw== [fileUNF]

Trexler, A. (2023, April 18). The Minimal Effects of Making Local News Free: Evidence from a Field Experiment. https://doi.org/10.31219/osf.io/8x46u

political knowledge (NA) [link] Trexler, Andrew, 2025, “Replication Data for:”The Minimal Effects of Making Local News Free: Evidence from a Field Experiment”“, https://doi.org/10.7910/DVN/NWKSHA, Harvard Dataverse, V1, UNF:6:A5Mj0NI8CIQ9vOTFJjRjNw== [fileUNF]

Trexler, A. (2023, April 18). The Minimal Effects of Making Local News Free: Evidence from a Field Experiment. https://doi.org/10.31219/osf.io/8x46u
  1. Home environment: Family Care Indicators (FCI) - Play Subscale (NA) [link] Arteaga, I., de Barros, A., & Ganimian, A. J. (2025). The Challenges of Scaling up Effective Child-Rearing Practices Using Technology in Developing Settings: Experimental Evidence From India. Journal of Research on Educational Effectiveness, 1-19.
  1. Child development: Caregiver Reported Early Development Index (CREDI) (NA) [link] Arteaga, I., de Barros, A., & Ganimian, A. J. (2025). The Challenges of Scaling up Effective Child-Rearing Practices Using Technology in Developing Settings: Experimental Evidence From India. Journal of Research on Educational Effectiveness, 1-19.

Scale related to intimate partner violence (CC BY 4.0) [link] Hidrobo, M., Peterman, A., & Heise, L. (2016). The effect of cash, vouchers, and food transfers on intimate partner violence: evidence from a randomized experiment in Northern Ecuador. American Economic Journal: Applied Economics, 8(3), 284-303.

Hidrobo, Melissa, Peterman, Amber, and Heise, Lori. Replication data for: The Effect of Cash, Vouchers, and Food Transfers on Intimate Partner Violence: Evidence from a Randomized Experiment in Northern Ecuador. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113634V1
Knowledge of Infant Development (KIDI) (NA) [link] Arteaga, I., de Barros, A., & Ganimian, A. J. (2025). The Challenges of Scaling up Effective Child-Rearing Practices Using Technology in Developing Settings: Experimental Evidence From India. Journal of Research on Educational Effectiveness, 1-19.
Self Efficacy (TOPSE) (NA) [link] Arteaga, I., de Barros, A., & Ganimian, A. J. (2025). The Challenges of Scaling up Effective Child-Rearing Practices Using Technology in Developing Settings: Experimental Evidence From India. Journal of Research on Educational Effectiveness, 1-19.
  1. Maternal anxiety: General Anxiety Disorder (GAD) Questions (NA) [link] Arteaga, I., de Barros, A., & Ganimian, A. J. (2025). The Challenges of Scaling up Effective Child-Rearing Practices Using Technology in Developing Settings: Experimental Evidence From India. Journal of Research on Educational Effectiveness, 1-19.
  1. Expressive language (NA) [link] Arteaga, I., de Barros, A., & Ganimian, A. J. (2025). The Challenges of Scaling up Effective Child-Rearing Practices Using Technology in Developing Settings: Experimental Evidence From India. Journal of Research on Educational Effectiveness, 1-19.
Lay’s General Procrastination Scale (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
Study 1 of Graph Mapping Measure (CC BY 4.0) [link] Jastrzębski, J., Ociepka, M., & Chuderski, A. (2022). Graph Mapping: A novel and simple test to validly assess fluid reasoning. Behavior Research Methods, 1-13.
Answers to grit scale items (CC BY 4.0) [link] Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007). Grit: perseverance and passion for long-term goals. Journal of personality and social psychology, 92(6), 1087.
short version of the Grit Scale (CC-By Attribution 4.0 International) [link] de Souza Brümmer, R., Krause, K. R., Salum, G. A., de Almeida Fleck, M. P., Porto, I. M., do Amaral, J. V., … & Hoffmann, M. S. (2024). Beyond frequency: Evaluating the validity of assessing the context, duration, ability and botherement of depression and anxiety symptoms in south Brazil. Psychological Assessment.
Anxiety scale (HADS) administered to oncology patients (GPL-3) [link] Zigmond, A. and Snaith, R. (1983), The hospital anxiety and depression scale, Acta Psychiatrika Scandinavica, 67, 361-370.
Data from a spatial reasoning task (fifth wave of data collection) (GPL-3) [link] Zhang S, Wang S, Chen Y, Kwon S (2023). hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning. R package version 2.1.1, https://CRAN.R-project.org/package=hmcdm.
Answers to the Humor Styles Questionnaire (CC BY 4.0) [link] Martin, R. A., Puhlik-Doris, P., Larsen, G., Gray, J., & Weir, K. Humor Styles Questionnaire [dataset and codebook]. http://openpsychometrics.org/_rawdata/HSQ.zip///Martin, R. A., Puhlik-Doris, P., Larsen, G., Gray, J., & Weir, K. (2003). Individual differences in uses of humor and their relation to psychological well-being: Development of the Humor Styles Questionnaire. Journal of Research in Personality, 37, 48-75.
Data on agreeability with certain narcisstic personality characteristics (CC BY 4.0) [link] Jorgenson, E. (2016). Open Hemispheric Brain Dominance Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/OHBDS-data.zip
Attitudes about difference from IAT database (CC BY 4.0) [link] Xu, K., Nosek, B., & Greenwald, A. (2014). Psychology data from the race implicit association test on the project implicit demo website. Journal of open psychology data, 2(1).
Attitudes towards poverty from IAT database (CC BY 4.0) [link] Xu, K., Nosek, B., & Greenwald, A. (2014). Psychology data from the race implicit association test on the project implicit demo website. Journal of open psychology data, 2(1).

Sixty items from 4 cognitive ability tests (CC BY 4.0) [link] Condon, D. M., & Revelle, W. (2016). Selected ICAR data from the SAPA-Project: Development and initial validation of a public-domain measure.

Condon, David; Revelle, William, 2015, “Selected ICAR data from the SAPA-Project: Development and initial validation of a public-domain measure”, https://doi.org/10.7910/DVN/AD9RVY, Harvard Dataverse, V2, UNF:6:73sL85mhjMM9L1xA7R6JTA== [fileUNF]
Brazilian Version of the Inventory of Depression and Anxiety Symptoms (CC BY 4.0) [link] Machado, G. M., Valentini, F., Watson, D., & Carvalho, L. D. F. (2024). The Brazilian version of the Inventory of Depression and Anxiety Symptoms–Expanded Version: Internal structure, invariance by sex and race, and associations with pathological personality traits. Psychological assessment.
IES Writing Achievement Study (CC BY 4.0) [link] Educational Testing Service. (n.d.). IES Writing Achievement Study Data. GitHub. Retrieved January 6, 2025, from https://github.com/EducationalTestingService/ies-writing-achievement-study-data
Reviewer ratings for conference papers. (GPL-3) [link] Kuhlisch, W., Roos, M., Rothe, J., Rudolph, J., Scheuermann, B., & Stoyan, D. (2016). A statistical approach to calibrating the scores of biased reviewers of scientific papers. Metrika, 79, 37-57.
Standard settings ratings (GPL-3) [link] n/a
Ratings of 2002 olympics pairs figure skating (GPL-3) [link] n/a
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
International Math Olympiad problems (NA) [link] NA
Participants respond to statements on extraversion and introversion behaviors on a likert scale (CC BY 4.0) [link] Development of the Multidimensional Introversion-Extraversion ScalesX [dataset and codebook]. http://openpsychometrics.org/_rawdata/MIES_Dev_Data.zip
Across 10 different trials, 617 healthy (no neurological impairments) participants perform the Iowa gambling task (choose among options, each of which was associated with different risks and rewards) (CC BY-SA 4.0) [link] Steingroever, H., Fridberg, D. J., Horstmann, A., Kjome, K. L., Kumari, V., Lane, S. D., PhD, … Wagenmakers, E.-J. (2015, March 30). Data from 617 Healthy Participants Performing the Iowa Gambling Task: A “Many Labs” Collaboration. Retrieved from osf.io/8t7rm
Irrational Procrastination Scale (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
The Insomnia Severity Index (ISI) (CC BY 4.0) [link] Wang, W., Shen, X., Guo, X., Liu, S., Chen, Q., Ma, S., & Jian, Y. (2025). Psychometric evaluation of the insomnia severity index in 570,295 Chinese adolescents: A bifactor item-response theory analysis. Journal of Pacific Rim Psychology, 19, 18344909241310783.
Data from mental rotation tasks (GPL-3) [link] Janssen, A. B., & Geiser, C. (2010). On the relationship between solution strategies in two mental rotation tasks. Learning and Individual Differences, 20(5), 473-478.
Common responses (i.e., Table 3) to political action survey (NA) [link] Jöreskog, K. G., & Moustaki, I. (2001). Factor analysis of ordinal variables: A comparison of three approaches. Multivariate Behavioral Research,, 36(3), 347-387.
Knowledge of COVID (CC-By Attribution 4.0 International) [link] Li, D. C. Y., & Leung, L. (2020). Psychometric data on knowledge and fear of coronavirus disease 2019 and perceived stress among workers of filipino origin in Hong Kong. Data in brief, 33, 106395.
Fear of COVID (CC-By Attribution 4.0 International) [link] Li, D. C. Y., & Leung, L. (2020). Psychometric data on knowledge and fear of coronavirus disease 2019 and perceived stress among workers of filipino origin in Hong Kong. Data in brief, 33, 106395.
Perceived stress scale (CC-By Attribution 4.0 International) [link] Li, D. C. Y., & Leung, L. (2020). Psychometric data on knowledge and fear of coronavirus disease 2019 and perceived stress among workers of filipino origin in Hong Kong. Data in brief, 33, 106395.
Responses to Mach-4 scale on Machiavellianism (GPL-3) [link] Hunter, J. E., Gerbing, D. W., & Boster, F. J. (1982). Machiavellian beliefs and personality: Construct invalidity of the Machiavellianism dimension. Journal of personality and social psychology, 43(6), 1293.
De Jong-Gierveld loneliness scale (GPL-3) [link] G. J. De Jong and T. van Tilburg (1999). Manual of the loneliness scale. Amsterdam: VU University Amsterdam.
Data from LSAT (GPL-3) [link] Bock, R. and Lieberman, M. (1970) Fitting a response model for n dichotomously scored items. Psychometrika, 35, 179–197.
Murray Needs Theory and Big Five Theory (CC BY 4.0) [link] Anunciacao, L. (2024, December 13). Personality - Murray and Big five theory. Retrieved from osf.io/wkzan
Metacognitive Beliefs About Procrastination (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
Million clinical multiaxial inventory (see https://osf.io/e9jrz) (GPL-3) [link] Rossi, G., Elklit, A., & Simonsen, E. (2010). Empirical evidence for a four factor framework of personality disorder organization: multigroup confirmatory factor analysis of the millon clinical multiaxial inventory—III personality disorder scales across belgian and danish data samples. Journal of Personality Disorders, 24(1), 128-150.
Survey data on public and private university students’ mental health symptoms as a consequence of internet usage (CC BY 4.0) [link] Mwakilama, Elias; Jamu, Edister; Senganimalunje, Limbika ; Manda, Tiwonge (2022), “Data on Internet Addiction and Mental Health among university students in Malawi”, Mendeley Data, V3, doi: 10.17632/xbfbcy5bhv.3
perceived metacognitive monitoring abilities (Study 1) (NA) [link] Double, K. S. (2025). Survey measures of metacognitive monitoring are often false. Behavior Research Methods, 57(3), 97.
Moral Foundations Questionnairre (C-By Attribution 4.0 International) [link] Zakharin, M., & Bates, T. C. (2023). Moral Foundations Theory: Validation and replication of the MFQ-2. Personality and Individual Differences, 214, 112339.
EMA Anger Scale (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
EMA Conscientiousness Scale (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
DASS-21 (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
Ecological Momentary Assessment(EMA) (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
8-item revised UCLA loneliness scale (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
EMA Mindfulness Scale (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
EMA Motivation Scale (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
10-item Perceived Stress Scale (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
NA (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
EMA Smartphone Scale (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
EMA Tiredness Scale (NA) [link] Fried, E. I., & Epskamp, S. (2022, May 7). Mental Health and Social Contact During the COVID-19 Pandemic: An Ecological Momentary Assessment Study. https://doi.org/10.17605/OSF.IO/MVDPE
Responses to the Kentucky Inventory of Mindfulness Skills Assessment, which asks participants to rate how much they agree with certain statements about self-care and mindfulness practice (CC BY 4.0) [link] Baer, R. A., Smith G. T., Allen, K. B. Kentucky Inventory of Mindful Skills [dataset and codebook]. http://openpsychometrics.org/_rawdata/KIMS.zip///Baer, R. A., Smith G. T., Allen, K. B. (2004). Assessment of mindfulness by self-report: The Kentucky Inventory of Mindfulness Skills. Assessment, 11, 191-206.
Movie ratings (movie=id; MovieLens 32M) (License text: Neither the University of Minnesota nor any of the researchers involved can guarantee the correctness of the data, its suitability for any particular purpose, or the validity of results based on the use of the data set. The data set may be used for any research purposes under the following conditions: The user may not state or imply any endorsement from the University of Minnesota or the GroupLens Research Group. The user must acknowledge the use of the data set in publications resulting from the use of the data set (see below for citation information). The user may redistribute the data set, including transformations, so long as it is distributed under these same license conditions. The user may not use this information for any commercial or revenue-bearing purposes without first obtaining permission from a faculty member of the GroupLens Research Project at the University of Minnesota. The executable software scripts are provided “as is” without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of them is with you. Should the program prove defective, you assume the cost of all necessary servicing, repair or correction. In no event shall the University of Minnesota, its affiliates or employees be liable to you for any damages arising out of the use or inability to use these programs (including but not limited to loss of data or data being rendered inaccurate). If you have any further questions or comments, please email grouplens-info@umn.edu) [link] F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4: 19:1–19:19. https://doi.org/10.1145/2827872
Social mobility for women in Bangladesh (GPL-3) [link] Huq, N. and Cleland, J. (1990) Bangladesh Fertility Survey, 1989. Dhaka: National Institute of Population Research and Training (NIPORT).
Random dot motion discrimination (CC BY 4.0) [link] O’Brien, G., & Yeatman, J. D. (2021). Bridging sensory and language theories of dyslexia: Toward a multifactorial model. Developmental Science, 24(3), e13039.

Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) (CC0 1.0) [link] Pakpour, Amir, 2022, “Article title: The psychometric properties of Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S)”, https://doi.org/10.7910/DVN/U8ZYDF, Harvard Dataverse, V2, UNF:6:4O/VZx7hIolR8tyZ7Bw/gQ== [fileUNF]

Ahorsu, D. K., Lin, C. Y., Chen, I. H., Ullah, I., Shoib, S., Zahid, S. U., … & Pakpour, A. H. (2022). The psychometric properties of motors of COVID-19 vaccination acceptance scale (MoVac-COVID19S): a dataset across five regions. Data in Brief, 42, 108103.
Motivation for working on open-source software (GPL-2) [link] Mair, P., Hofmann, E., Gruber, K., Zeileis, A., & Hornik, K. (2015) Motivation, values, and work design as drivers of participation in the R open source Project for Statistical Computing. Proceedings of the National Academy of Sciences of the United States of America, 112(48), 14788-14792.
Depression/OCD collected in a hospital (GPL-2) [link] McNally, R. J., Mair, P., Mugno, B. L., and Riemann, B. C. (2017). Comorbid obsessive-compulsive disorder and depression: A Bayesian network approach. Psychological Medicine, 47(7), 1204- 1214.
Depression/OCD collected in a hospital from adolescents (GPL-2) [link] Jones, P. J., Mair, P., Riemann, B. C., Mugno, B. L., & McNally, R. J. (2018). A network perspective on comorbid depression in adolescents with obsessive-compulsive disorder. Journal of Anxiety Disorders, 53, 1-8. #’
Youth depression scale (GPL-2) [link] Vaughn-Coaxum, R. A., Mair, P., & Weisz, J. R. (2015). Racial/ethnic differences in youth depression indicators: An Item Response Theory analysis of symptoms reported by White, Black, Asian, and Latino youths. Clinical Psychological Science, 4, 239-253.
Data from a scale assessing wisdom (GPL-2) [link] Levenson, M. R., Jennings, P. A., Aldwin, C. M., & Shiraishi, R. W. (2005). Self-transcendence: conceptualization and measurement. The International Journal of Aging and Human Development, 60, 127-143.
Data from a scale assessing avalanche risk awareness (GPL-2) [link] Haegeli, P., Gunn, M., & Haider, W. (2012). Identifying a high-risk cohort in a complex and dynamic risk environment: Out-of-bounds skiing–an example from avalanche safety. Prevention Science, 13, 562-573
Sensation-seeking scale from out-of-bounds skiers (GPL-2) [link] Hoyle, R. H., Stephenson, M. T., Palmgreen, P., Lorch, E. P., & Donohew, R. L. (2002). Reliability and validity of a brief measure of sensation. Personality and Individual Differences, 32, 401-414.
Children responding to empathy scale (GPL-2) [link] urce Funk, J. B., Fox, C. M., Chang, M., & Curtiss, K. (2008). The development of the Children’s Empathic Attitudes Questionnaire using classical and Rasch analyses. Journal of Applied Developmental Psychology, 29, 187-196.
Condom usage scale (GPL-2) [link] de Ayala, R. J. (2009). The Theory and Practice of Item Response Theory. Guilford Press, New York
Child-focused response to challenge scale (GPL-2) [link] Lakes, K. D., & Hoyt, W. T. (2009). Applications of generalizability theory to clinical child and adolescent psychology research. Journal of Clinical Child & Adolescent Psychology, 38, 144-165.
Learning-related emotions for children learning mathematics (GPL-2) [link] Grand, A., & Dittrich, R. (2015) Modelling assumed metric paired comparison data - application to learning related emotions. Austrian Journal of Statistics, 44, 3-15.
Work design questionnaire from open-source developers (GPL-2) [link] Mair, P., Hofmann, E., Gruber, K., Zeileis, A., & Hornik, K. (2015) Motivation, values, and work design as drivers of participation in the R open source Project for Statistical Computing. Proceedings of the National Academy of Sciences of the United States of America, 112(48), 14788-14792.
PTSD data from disaster survivors (GPL-2) [link] McNally, R. J., Robinaugh, D. J., Wu, G. W. Y., Wang, L., Deserno, M. K., & Borsboom, D. (2015). Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science, 3(6), 836-849.
PVMT task data (GPL-2) [link] Wilmer, J. B., Germine, L., Chabris, C. F., Chatterjee, G., Gerbasi, M. & Nakayama, K. (2012): Capturing specific abilities as a window into human individuality: The example of face recognition, Cognitive Neuropsychology, 29, 360-392
Wilson-Patterson conservatism scale (GPL-2) [link] n/a
ZAREKI-R test battery (GPL-2) [link] Koller, I., & Alexandrowicz, R. W. (2010) Eine psychometrische Analyse der ZAREKI-R mittels Rasch-Modellen [A psychometric analysis of the ZAREKI-R using Rasch-models]. Diagnostica 56, 57-67.
Supreme Court voting record (CC BY-NC 3.0 US DEED) [link] Martin, A. D., & Quinn, K. M. (2002). Dynamic ideal point estimation via Markov chain Monte Carlo for the US Supreme Court, 1953–1999. Political analysis, 10(2), 134-153.
Numerosity task (BY) administered to Mturkers (CC BY 4.0) [link] Ratcliff, R., Hendrickson, A.T. Do data from mechanical Turk subjects replicate accuracy, response time, and diffusion modeling results?. Behav Res 53, 2302–2325 (2021). https://doi.org/10.3758/s13428-021-01573-x
Lexical decision task administered to Mturkers (CC BY 4.0) [link] Ratcliff, R., Hendrickson, A.T. Do data from mechanical Turk subjects replicate accuracy, response time, and diffusion modeling results?. Behav Res 53, 2302–2325 (2021). https://doi.org/10.3758/s13428-021-01573-x
Word recognition task administered to Mturkers (CC BY 4.0) [link] Ratcliff, R., Hendrickson, A.T. Do data from mechanical Turk subjects replicate accuracy, response time, and diffusion modeling results?. Behav Res 53, 2302–2325 (2021). https://doi.org/10.3758/s13428-021-01573-x
Numerosity task (Y25) administered to Mturkers (CC BY 4.0) [link] Ratcliff, R., Hendrickson, A.T. Do data from mechanical Turk subjects replicate accuracy, response time, and diffusion modeling results?. Behav Res 53, 2302–2325 (2021). https://doi.org/10.3758/s13428-021-01573-x
Extract from 1996 NAEP (GPL-3) [link] Bartolucci, F., Bacci, S. and Gnaldi, M. (2014), MultiLCIRT: An R package for multidimensional latent class item response models, Computational Statistics and Data Analysis, 71, 971-985.
Reducing the initial 30-item pool of the Narcissistic Antagonism Scale (NAS) (CC0 1.0 Universal) [link] Rogoza, R., Baran, L., Flakus, M., Krammer, G., & Fatfouta, R. (2024). Introducing the Narcissistic Antagonism Scale: A missing puzzle piece in the assessment of momentary narcissism. Psychological Assessment.
Study to examine if NAS, along with existing scales NGS (Narcissistic Grandiosity Scale) and NVS (Narcissistic Vulnerability Scale), formed a three-factor structure and tested how these scales worked together. (CC0 1.0 Universal) [link] Rogoza, R., Baran, L., Flakus, M., Krammer, G., & Fatfouta, R. (2024). Introducing the Narcissistic Antagonism Scale: A missing puzzle piece in the assessment of momentary narcissism. Psychological Assessment.
Study to examine if NAS, along with existing scales NGS (Narcissistic Grandiosity Scale) and NVS (Narcissistic Vulnerability Scale), formed a three-factor structure and tested how these scales worked together. (CC0 1.0 Universal) [link] Rogoza, R., Baran, L., Flakus, M., Krammer, G., & Fatfouta, R. (2024). Introducing the Narcissistic Antagonism Scale: A missing puzzle piece in the assessment of momentary narcissism. Psychological Assessment.
Study to examine if NAS, along with existing scales NGS (Narcissistic Grandiosity Scale) and NVS (Narcissistic Vulnerability Scale), formed a three-factor structure and tested how these scales worked together. (CC0 1.0 Universal) [link] Rogoza, R., Baran, L., Flakus, M., Krammer, G., & Fatfouta, R. (2024). Introducing the Narcissistic Antagonism Scale: A missing puzzle piece in the assessment of momentary narcissism. Psychological Assessment.
Examined narcissism in daily life using diary methodology. (CC0 1.0 Universal) [link] Rogoza, R., Baran, L., Flakus, M., Krammer, G., & Fatfouta, R. (2024). Introducing the Narcissistic Antagonism Scale: A missing puzzle piece in the assessment of momentary narcissism. Psychological Assessment.
Examined narcissism in daily life using diary methodology. (CC0 1.0 Universal) [link] Rogoza, R., Baran, L., Flakus, M., Krammer, G., & Fatfouta, R. (2024). Introducing the Narcissistic Antagonism Scale: A missing puzzle piece in the assessment of momentary narcissism. Psychological Assessment.
Examined narcissism in daily life using diary methodology. (CC0 1.0 Universal) [link] Rogoza, R., Baran, L., Flakus, M., Krammer, G., & Fatfouta, R. (2024). Introducing the Narcissistic Antagonism Scale: A missing puzzle piece in the assessment of momentary narcissism. Psychological Assessment.
Data on the strength of connection to nature that individuals feel (CC BY 4.0) [link] Nisbet, E., Zelenski, J. (2018). Nature Relatedness Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/NR6-data-14Nov2018.zip
Attempt to quantify ‘nerdiness’ (CC BY 4.0) [link] (2015). Development of the Nerdy Personality Attributes Scale [dataset and codebook]. http://openpsychometrics.org/tests/NPAS/development/
Items from a dataset from the 2020 NeurIPS Education Challenge, which was used to predict student responses, determine question quality, etc (CC-BY-NC-ND) [link] Wang, Z., Lamb, A., Saveliev, E., Cameron, P., Zaykov, Y., Hernández-Lobato, J.M., Turner, R.E., Baraniuk, R.G., Barton, C., Jones, S.P., Woodhead, S., & Zhang, C. (2020). Diagnostic questions: The neurips 2020 education challenge [data set]. arXiv preprint arXiv:2007.12061
Items from a dataset from the 2022 NeurIPS Education Challenge, is based on real AB experiment data to uncover causal links between learning one construct to the success of learning another (CC-BY-NC-ND) [link] Gong, W., Smith, D., Wang, Z., Barton C., Woodhead, S., Pawlowski, N., Jennings, J., Zhang, C. (2022). NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education [data set]. arXiv:2208.12610
Assessed whether the Novel Object Memory Test (NOMT) instructions in English versus Spanish affect performance among bilingual participants. (NA) [link] Hooper, M. A., Tomarken, A., & Gauthier, I. (2024). Measuring visual ability in linguistically diverse populations. Behavior Research Methods, 57(1), 36.
Assessed whether the Novel Object Memory Test (NOMT) measures the same object recognition ability across native English and Spanish speakers. (NA) [link] Hooper, M. A., Tomarken, A., & Gauthier, I. (2024). Measuring visual ability in linguistically diverse populations. Behavior Research Methods, 57(1), 36.
Decision-making under time pressure based on indicating which of two displayed circles flashes most frequently (CC BY 4.0) [link] Archambeau, K., Couto, J. & Van Maanen, L. Non-parametric mixture modeling of cognitive psychological data: A new method to disentangle hidden strategies. Behav Res 55, 2232–2248 (2023). https://doi.org/10.3758/s13428-022-01837-0 Miletić, S., & van Maanen, L. (2019). Caution in decision-making under time pressure is mediated by timing ability. Cognitive Psychology, 110, 16-29.
Data on nonverbal behavioral tendencies (CC BY 4.0) [link] Richmond, V. P., McCroskey, J. C., & Johnson, A. D. (2003). Development of the Nonverbal Immediacy Scale (NIS): Measures of self- and other-perceived nonverbal immediacy. Communication Quarterly, 51, 502-515.
Object matching tasks (CC BY 4.0) [link] Growns, B., Towler, A., & Martire, K. (2023). The novel object-matching test (NOM Test): A psychometric measure of visual comparison ability. Behavior research methods, 1-10.

606 Amazon Mechanical Turk were shown a set of numbers and asked what other numbers are likely to belong to the set (CC BY 4.0) [link] Bigelow, E., & Piantadosi, S. T. (2016). A large dataset of generalization patterns in the number game. Journal of Open Psychology Data, 4(1), e4-e4.

Tenenbaum, J. (1999). Rules and similarity in concept learning. Advances in neural information processing systems, 12.

Bigelow, Eric J.; Piantadosi, Steven T., 2018, “Large Dataset of Generalization Patterns in the Number Game”, https://doi.org/10.7910/DVN/A8ZWLF, Harvard Dataverse, V1, UNF:6:zUgVtjc9CKvWc4pB//Qp6A== [fileUNF]
Big five measure from UK university students (CC BY 4.0) [link] Satchell, L.P., Fido, D., Harper, C.A. et al. Development of an Offline-Friend Addiction Questionnaire (O-FAQ): Are most people really social addicts?. Behav Res 53, 1097–1106 (2021). https://doi.org/10.3758/s13428-020-01462-9
Domain-specific risk taking measure (DOSPERT) from UK university students (CC BY 4.0) [link] Satchell, L.P., Fido, D., Harper, C.A. et al. Development of an Offline-Friend Addiction Questionnaire (O-FAQ): Are most people really social addicts?. Behav Res 53, 1097–1106 (2021). https://doi.org/10.3758/s13428-020-01462-9
Offline-Friend Addiction Questionnaire (OFAQ) from UK university students (CC BY 4.0) [link] Satchell, L.P., Fido, D., Harper, C.A. et al. Development of an Offline-Friend Addiction Questionnaire (O-FAQ): Are most people really social addicts?. Behav Res 53, 1097–1106 (2021). https://doi.org/10.3758/s13428-020-01462-9
Open receptive vocab task for 3-8 year old children (CC-BY-4.0 license) [link] Bohn, M., Prein, J., Koch, T. et al. oREV: An item response theory-based open receptive vocabulary task for 3- to 8-year-old children. Behav Res 56, 2595–2605 (2024). https://doi.org/10.3758/s13428-023-02169-3
Oxford Activities and Technology Use Scale (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Big Five Inventory (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Brief Resilience Scale (BRS) (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Eating Disorder Examination Questionnaire (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Generalised Anxiety Disorder scale (GAD-7) (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Intolerance of Uncertainty Scale (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Mental Flexibility Questionnaire (MFQ) (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Oxford Mental Health Scale (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Pandemic Anxiety Scale (PAS) (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Patient Health Questionnaire (PHQ-9) (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Perceived Stress Scale (PSS) (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Penn-State Worry Questionnaire (PSWQ) Adult Version (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Penn-State Worry Questionnaire (PSWQ) Child Version (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Rosenberg Self-Esteem Scale (RSE) (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Oxford School Scale (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Short Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS – S) (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Oxford University Admission Scale (NA) [link] Parsons, S., Fox, E., Songco, A., Todorovic, A., & Lim, M. C. (2022, January 14). Oxford ARC study. https://doi.org/10.17605/OSF.IO/4B85W
Applied Mindfulness Process Scale (NA) [link] Saba, S. K., & Black, D. S. (2024, September 4). Psychometric Assessment of the Applied Mindfulness Process Scale (AMPS) Among a Sample in Residential Treatment for Substance Use Disorder. Retrieved from osf.io/9jgxs
Class Attendance Scale (NA) [link] Saba, S. K., & Black, D. S. (2024, September 4). Psychometric Assessment of the Applied Mindfulness Process Scale (AMPS) Among a Sample in Residential Treatment for Substance Use Disorder. Retrieved from osf.io/9jgxs
Difficulties in Emotion Regulation Scale (NA) [link] Saba, S. K., & Black, D. S. (2024, September 4). Psychometric Assessment of the Applied Mindfulness Process Scale (AMPS) Among a Sample in Residential Treatment for Substance Use Disorder. Retrieved from osf.io/9jgxs
Five Facet Mindfulness Questionnaire – Short Form (NA) [link] Saba, S. K., & Black, D. S. (2024, September 4). Psychometric Assessment of the Applied Mindfulness Process Scale (AMPS) Among a Sample in Residential Treatment for Substance Use Disorder. Retrieved from osf.io/9jgxs
Penn Alcohol Craving Scale (NA) [link] Saba, S. K., & Black, D. S. (2024, September 4). Psychometric Assessment of the Applied Mindfulness Process Scale (AMPS) Among a Sample in Residential Treatment for Substance Use Disorder. Retrieved from osf.io/9jgxs
Perceived Stress Scale (NA) [link] Saba, S. K., & Black, D. S. (2024, September 4). Psychometric Assessment of the Applied Mindfulness Process Scale (AMPS) Among a Sample in Residential Treatment for Substance Use Disorder. Retrieved from osf.io/9jgxs
Data from the Promoting Adolescents’ Comprehension of Text Project, in which 7 - 12 grade students respond to item to gauge the role of cognitive processes, motivation, engagement, etc to improve reading comprehension (CC BY 4.0) [link] Vaughn, S., Swanson, E., Roberts, G., Martinez, L., Wanzek, J., Simmons, D., Clemens, N., & Fogarty, M. (2021). PACT8 2011-2012, PACT8 2012-2013, PACT11 2011-2012, PACT11 2012-2013, Vocabulary and Comprehension (VoCO) Project [datasets]. LDbase. http://ldbase.org/datasets/7a353ad7-4859-47a0-8aad-000889fed91a
Physical activity parenting parentics scale (CC-By Attribution 4.0 International) [link] Silva-Martins, M., Canário, A. C., Abreu-Lima, I., Krasniqi, L., & Cruz, O. (2023). Psychometric properties of the Portuguese version of the physical activity parenting practices questionnaire. BMC psychology, 11(1), 417.

Survey items from dataset used to assess effectiveness of parental text message intervention (CC BY 4.0) [link] Asher, C. A., Scherer, E., & Kim, J. S. (2022). Using a factorial design to maximize the effectiveness of a parental text messaging intervention. Journal of Research on Educational Effectiveness, 15(3), 532-557.

Scherer, Ethan; Catherine Asher; Kim, James, 2021, “Replication Data for: Using a Factorial Design to Maximize the Effectiveness of a Parental Text Messaging Intervention”, https://doi.org/10.7910/DVN/XUEU90, Harvard Dataverse, V1, UNF:6:yfNiyfKzlJz+tCM15Lo+DQ== [fileUNF]
Procrastination Assessment Scale for Students (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
Basic Empathy Scale (NA) [link] Pechorro P, Revilla R, Resende M, Abrunhosa Gonçalves R, Nunes C, Cyders MA (2021) The Dickman Impulsivity Inventory: Validation and measurement invariance among Portuguese young adults. PLoS ONE 16(12): e0260621.
Dickman Impulsivity Inventory (NA) [link] Pechorro P, Revilla R, Resende M, Abrunhosa Gonçalves R, Nunes C, Cyders MA (2021) The Dickman Impulsivity Inventory: Validation and measurement invariance among Portuguese young adults. PLoS ONE 16(12): e0260621.
Reactive-Proactive Aggression Questionnaire (NA) [link] Pechorro P, Revilla R, Resende M, Abrunhosa Gonçalves R, Nunes C, Cyders MA (2021) The Dickman Impulsivity Inventory: Validation and measurement invariance among Portuguese young adults. PLoS ONE 16(12): e0260621.
Youth Psychopathic Traits Inventory–Triarchic–Short (NA) [link] Pechorro P, Revilla R, Resende M, Abrunhosa Gonçalves R, Nunes C, Cyders MA (2021) The Dickman Impulsivity Inventory: Validation and measurement invariance among Portuguese young adults. PLoS ONE 16(12): e0260621.
Patient Health Questionnaire–9 (CC-By Attribution 4.0 International) [link] de Souza Brümmer, R., Krause, K. R., Salum, G. A., de Almeida Fleck, M. P., Porto, I. M., do Amaral, J. V., … & Hoffmann, M. S. (2024). Beyond frequency: Evaluating the validity of assessing the context, duration, ability and botherement of depression and anxiety symptoms in south Brazil. Psychological Assessment.
The Patient Health Questionnaire (PHQ-9) (CC BY 4.0) [link] Wang, W., Shen, X., Guo, X., Liu, S., Chen, Q., Ma, S., & Jian, Y. (2025). Psychometric evaluation of the insomnia severity index in 570,295 Chinese adolescents: A bifactor item-response theory analysis. Journal of Pacific Rim Psychology, 19, 18344909241310783.
Data from 2011 PIRLS from one booklet and 4 countries. (GPL-3) [link] Robitzsch A (2022). sirt: Supplementary Item Response Theory Models. R package version 3.12-66, https://CRAN.R-project.org/package=sirt.
Data on math from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on read from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on science from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on problem solving from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on science from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on science from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on science from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (NA) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (NA) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (NA) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (NA) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (NA) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (NA) [link] NA
Data on math, science and reading from a large scale international assessment of 15 year olds (NA) [link] NA
Items about elementary probability theory. (GPL-3) [link] Heller, J., & Wickelmaier, F. (2013). Minimum discrepancy estimation in probabilistic knowledge structures. Electronic Notes in Discrete Mathematics, 42, 49-56.
Presence(=1) or absence of carcinoma in uterine cervix (ratings by 7 pathologists) (GPL-3) [link] Agresti, Alan. 2002. Categorical Data Analysis, second edition. Hoboken: John Wiley & Sons.
Responses from undergrads to questions about cheating behaviors (GPL-3) [link] Dayton, C. Mitchell. 1998. Latent Class Scaling Analysis. Thousand Oaks, CA: SAGE Publications.
Questions about how certain statements fit candidates for 2000 US presidential election (GPL-3) [link] The National Election Studies (https://electionstudies.org/). THE 2000 NATIONAL ELECTION STUDY [dataset]. Ann Arbor, MI: University of Michigan, Center for Political Studies [producer and distributor].
Survey responses to questions about universal values (GPL-3) [link] Stouffer, S.A. and J. Toby. 1951. “Role conflict and personality.” American Journal of Sociology. 56: 395:406.
Data on political ideologies (CC BY 4.0) [link] Brandt, M. J., Turner-Zwinkels, F. M., & Kubin, E. (2021). Political Psychology Data from a 26-wave Yearlong Longitudinal Study (2019–2020). Journal of Open Psychology Data, 9(1). 10.5334/jopd.54
Pure Procrastination Scale (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
Data on peoples’ activity preferences, which corresponds with different parts of the brain (CC BY 4.0) [link] Wagner, Rudolph F., and Kelly A. Wells. “A refined neurobehavioral inventory of hemispheric preference.” Journal of clinical psychology 41.5 (1985): 671-676.///Wagner Preference Inventory [dataset and codebook]. http://openpsychometrics.org/_rawdata/Wagner.zip
Affect Knowledge Test-Shortened (CC BY 4.0) [link] Bailey, C. S., Korucu, İrem, Eveleigh, A., Schnur, G., Costello, L., Tuttle, M., Knox-Lane, T., Cassidy, C., Ondrusek, A., McNaboe, T., Mazhar, A., & Xie, F. (2023). Preschool Social and Emotional Development Study—Connecticut Dataset. LDbase. https://doi.org/10.33009/ldbase.1680213217.8ed0
Adapted Box Task (CC BY 4.0) [link] Bailey, C. S., Korucu, İrem, Eveleigh, A., Schnur, G., Costello, L., Tuttle, M., Knox-Lane, T., Cassidy, C., Ondrusek, A., McNaboe, T., Mazhar, A., & Xie, F. (2023). Preschool Social and Emotional Development Study—Connecticut Dataset. LDbase. https://doi.org/10.33009/ldbase.1680213217.8ed0
Day–Night Task (CC BY 4.0) [link] Bailey, C. S., Korucu, İrem, Eveleigh, A., Schnur, G., Costello, L., Tuttle, M., Knox-Lane, T., Cassidy, C., Ondrusek, A., McNaboe, T., Mazhar, A., & Xie, F. (2023). Preschool Social and Emotional Development Study—Connecticut Dataset. LDbase. https://doi.org/10.33009/ldbase.1680213217.8ed0
Emotion Matching Task (CC BY 4.0) [link] Bailey, C. S., Korucu, İrem, Eveleigh, A., Schnur, G., Costello, L., Tuttle, M., Knox-Lane, T., Cassidy, C., Ondrusek, A., McNaboe, T., Mazhar, A., & Xie, F. (2023). Preschool Social and Emotional Development Study—Connecticut Dataset. LDbase. https://doi.org/10.33009/ldbase.1680213217.8ed0
Head-Toes-Knees-Shoulders (CC BY 4.0) [link] Bailey, C. S., Korucu, İrem, Eveleigh, A., Schnur, G., Costello, L., Tuttle, M., Knox-Lane, T., Cassidy, C., Ondrusek, A., McNaboe, T., Mazhar, A., & Xie, F. (2023). Preschool Social and Emotional Development Study—Connecticut Dataset. LDbase. https://doi.org/10.33009/ldbase.1680213217.8ed0
preLAS: The English Language Proficiency Assessment for Early Learners: (CC BY 4.0) [link] Bailey, C. S., Korucu, İrem, Eveleigh, A., Schnur, G., Costello, L., Tuttle, M., Knox-Lane, T., Cassidy, C., Ondrusek, A., McNaboe, T., Mazhar, A., & Xie, F. (2023). Preschool Social and Emotional Development Study—Connecticut Dataset. LDbase. https://doi.org/10.33009/ldbase.1680213217.8ed0
WoodCock-Johnson IV (CC BY 4.0) [link] Bailey, C. S., Korucu, İrem, Eveleigh, A., Schnur, G., Costello, L., Tuttle, M., Knox-Lane, T., Cassidy, C., Ondrusek, A., McNaboe, T., Mazhar, A., & Xie, F. (2023). Preschool Social and Emotional Development Study—Connecticut Dataset. LDbase. https://doi.org/10.33009/ldbase.1680213217.8ed0
Parent reports of expressive vocabulary (CC-BY-4.0 license) [link] Bohn, M., Prein, J. C., Engicht, J., Haun, D., Gagarina, N., & Koch, T. (2023, October 19). PREVIC: An adaptive parent report measure of expressive vocabulary in children between 3 and 8 years of age. https://doi.org/10.31234/osf.io/hvncp
Comprehensive Test of Phonological Processing (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Kaufman Brief intelligence Test Matrices (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
TOLD grammatical completion subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
TOLD grammatical completion subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Test of Preschool Early Literacy (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Test of Silent Reading Efficiency and Comprehension (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson academic knowledge subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson academic knowledge subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Applied Problems subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Letter Word ID subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Letter Word ID subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
TOLD Math Fluency subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Passage comprehension subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Passage comprehension subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson picture vocabulary subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson picture vocabulary subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Qualitative Concepts subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Sound Awareness subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Spelling subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Spelling subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Word attack subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson Word attack subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8
Woodcock-Johnson writing fluency subtest (CC BY 4.0) [link] Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8

Data from the Anger scale in the Wave 1 PROMIS study. (CC0 1.0) [link] Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179.

Cella, David, 2015, “PROMIS 1 Wave 1”, https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF]

Data from the anxiety Scale in the Wave 1 PROMIS study. (CC0 1.0) [link] Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179.

Cella, David, 2015, “PROMIS 1 Wave 1”, https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF]

Data from the CESD Scale in the Wave 1 PROMIS study. (CC0 1.0) [link] Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179.

Cella, David, 2015, “PROMIS 1 Wave 1”, https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF]

Data from the depression Scale in the Wave 1 PROMIS study. (CC0 1.0) [link] Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179.

Cella, David, 2015, “PROMIS 1 Wave 1”, https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF]

Data from the fatigue Scale in the Wave 1 PROMIS study. (CC0 1.0) [link] Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179.

Cella, David, 2015, “PROMIS 1 Wave 1”, https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF]

Data from the HAQ disability Scale in the Wave 1 PROMIS study. (CC0 1.0) [link] Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179.

Cella, David, 2015, “PROMIS 1 Wave 1”, https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF]

Data from the pain Scale in the Wave 1 PROMIS study. (CC0 1.0) [link] Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179.

Cella, David, 2015, “PROMIS 1 Wave 1”, https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF]

Data from the physical functioning Scale in the Wave 1 PROMIS study. (CC0 1.0) [link] Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179.

Cella, David, 2015, “PROMIS 1 Wave 1”, https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF]

Data from the social roles & social activities Scales in the Wave 1 PROMIS study. (CC0 1.0) [link] Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179.

Cella, David, 2015, “PROMIS 1 Wave 1”, https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF]
PROMIS anxiety and depression scales (CC-By Attribution 4.0 International) [link] de Souza Brümmer, R., Krause, K. R., Salum, G. A., de Almeida Fleck, M. P., Porto, I. M., do Amaral, J. V., … & Hoffmann, M. S. (2024). Beyond frequency: Evaluating the validity of assessing the context, duration, ability and botherement of depression and anxiety symptoms in south Brazil. Psychological Assessment.
Data from an online survey that collects participants’ sentiments on various “protestant work ethic” statements (CC BY 4.0) [link] Protestant Work Ethic Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/PWE_data.zip
Dutch Version of the Plymouth Sensory Imagery Questionnaire (CC-BY 4.0) [link] Woelk, M., Hagenaars, M. A., & Krans, J. (2022). Validation of the Dutch version of the Plymouth Sensory Imagery Questionnaire. European Journal of Psychological Assessment.
Data from online participants on the Woodworth Psychoneurotic Inventory, which is considered by some to be the first personality test (CC BY 4.0) [link] Woodworth Psychoneurotic Inventory [dataset and codebook]. http://openpsychometrics.org/_rawdata/WPI.zip
Measure of belief in conspiracy theories (GPL-3) [link] Brotherton R, French CC, Pickering AD (2013). Measuring Belief in Conspiracy Theories: The Generic Conspiracist Beliefs Scale. Frontiers in Psychology, 4, 279.
Response to gratitudes scales from youth and adolescents (GPL-3) [link] Froh, J. J., Fan, J., Emmons, R. A., Bono, G., Huebner, E. S., & Watkins, P. (2011). Measuring gratitude in youth: Assessing the psychometric properties of adult gratitude scales in children and adolescents. Psychological Assessment, 23(2), 311–324. https://doi.org/10.1037/a0021590
Responses to math exam (GPL-3) [link] Zeileis A, Umlauf N, Leisch F (2014). Flexible Generation of E-Learning Exams in R: Moodle Quizzes, OLAT Assessments, and Beyond. Journal of Statistical Software, 58(1), 1–36. doi:10.18637/jss.v058.i01
Gender role self-concept inventory (GPL-3) [link] Ursula Athenstaedt (2003) On the Content and Structure of the Gender Role Self-Concept: Including Gender-Stereotypical Behaviors in Addition to Traits. Psychology of Women Quarterly, 27, 309-318. doi: 10.1111/1471-6402.00111.
Data from the Synthetic Aperture Personality Assessment personality and ability test (GPL-3) [link] Revelle, William, Dworak, Elizabeth M. and Condon, David (2020) Cognitive ability in everyday life: the utility of open-source measures. Current Directions in Psychological Science, 29, (4) 358-363. Open access at doi:10.1177/0963721420922178.
ipip personality data from the SAPA project (GPL-3) [link] Revelle, W., Wilt, J., and Rosenthal, A. (2010) Individual Differences in Cognition: New Methods for examining the Personality-Cognition Link In Gruszka, A. and Matthews, G. and Szymura, B. (Eds.) Handbook of Individual Differences in Cognition: Attention, Memory and Executive Control, Springer.
Bond’s Logical Operations Test (GPL-3) [link] T.G. Bond. BLOT:Bond’s Logical Operations Test. Townsville, Australia: James Cook University. (Original work published 1976), 1995
Eysenck Personality Inventory (GPL-3) [link] Eysenck, H.J. and Eysenck, S. B.G. (1968). Manual for the Eysenck Personality Inventory.Educational and Industrial Testing Service, San Diego, CA.
Gender-related activities survey (GPL-3) [link] Gruber, Freya M. and Distlberger, Eva and Scherndl, Thomas and Ortner, Tuulia M. and Pletzer, Belinda (2020) Psychometric properties of the multifaceted Gender-Related Attributes Survey (GERAS) European Journal of Psychological Assessment, 36, (4) 612-623.
Motivational State Questionnaire (GPL-3) [link] Revelle, W. and Anderson, K.J. (1998) Personality, motivation and cognitive performance: Final report to the Army Research Institute on contract MDA 903-93-K-0008. (https://www.personality-project. org/revelle/publications/ra.ari.98.pdf).
State anxiety data over multiple studies (GPL-3) [link] Revelle, William and Anderson, Kristen Joan (1997) Personality, motivation and cognitive performance: Final report to the Army Research Institute on contract MDA 903-93-K-0008
Ratings of students (Example 3 of ConQuest manual (GPL-3) [link] n/a
Item responses from Swedish college entrance exam. (GPL-3) [link] Ramsay J (2023). TestGardener: Optimal Analysis of Test and Rating Scale Data. R package version 3.1.4, https://CRAN.R-project.org/package=TestGardener.
Raven’s matrices (GPL 3.0) [link] De Boeck, P., & Partchev, I. (2012). IRTrees: Tree-based item response models of the GLMM family. Journal of Statistical Software, 48, 1-28.
Picture norms of common items (CC BY 4.0) [link] Souza, C., Garrido, M.V., Saraiva, M. et al. RealPic: Picture norms of real-world common items. Behav Res 53, 1746–1761 (2021). https://doi.org/10.3758/s13428-020-01523-z
Data from the Holland Code (RIASEC) Test, wherein participants rated how much they would like to perform certain tasks (CC BY 4.0) [link] (2018). Holland Code (RIASEC) Test [dataset and codebook]. http://openpsychometrics.org/_rawdata/RIASEC_data12Dec2018.zip
Data from a survey that probes facist ideologies to try to understand those regimes and their followers (CC BY 4.0) [link] Altemeyer, B (2015). Right-wing Authoritarianism Scale [dataset and codebook]. https://openpsychometrics.org/_rawdata/RWAS.zip
Responses from a Lexical Decision Task. (CC BY 4.0) [link] Yeatman, J. D., Tang, K. A., Donnelly, P. M., Yablonski, M., Ramamurthy, M., Karipidis, I. I., … & Domingue, B. W. (2021). Rapid online assessment of reading ability. Scientific reports, 11(1), 6396.
Data from an interactive version of Experinces in Close Relationships Scale, where participants respond to statements about how they behave with those they have close relationships with (CC BY 4.0) [link] (2014). Roseberg Self-Esteem Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/RSE.zip///Brennan, K.; Clark, C.; Shaver, P. (1998). Self-report measures of adult romantic attachment. In J. Simpson and W. Rholes, Attachment Theory and Close Relationships. New York: Guilford Press.
Luminosity discrimination tasks (GPL-3) [link] Ratcliff, R., & Rouder, J. N. (1998). Modeling Response Times for Two-Choice Decisions. Psychological Science, 9(5), 347-356. http://doi.org/10.1111/1467-9280.00067
Beck’s Depression Inventory (NA) [link] McNeish, D., & Dumas, D. (2024, May 14). Reliability Representativeness. Retrieved from osf.io/gc8a4
Measure of Original Thinking in Elementary School - Example Subscale (NA) [link] McNeish, D., & Dumas, D. (2024, May 14). Reliability Representativeness. Retrieved from osf.io/gc8a4
Measure of Original Thinking in Elementary School - Sentence Subscale (NA) [link] McNeish, D., & Dumas, D. (2024, May 14). Reliability Representativeness. Retrieved from osf.io/gc8a4
Measure of Original Thinking in Elementary School - Use Subscale (NA) [link] McNeish, D., & Dumas, D. (2024, May 14). Reliability Representativeness. Retrieved from osf.io/gc8a4
German translation of the Maternal Antenatal Attachment Scale (MAAS) (CC BY 4.0) [link] Lehnig, F., Linde, K., Schmidt, V., Nagl, M., Martini, J., Stepan, H., & Kersting, A. (2024). Reliability and validity of the original and brief German version of the Maternal Antenatal Attachment Scale (MAAS): Longitudinal study findings. PloS one, 19(12), e0316374.
Multi-lingual versions of the Strike Attitude and Behavioral Reactions Scale (CC-By Attribution 4.0 International) [link] Vesper, D., & König, C. J. (2023). Measurement equivalence of the English, German, and French versions of the Strike Attitude and Behavioral Reactions Scale (SABeRS). European Journal of Psychological Assessment.

Personality data from the SAPA project (CC BY 4.0) [link] Condon, D. M., & Revelle, W. (2015). Selected personality data from the SAPA-Project: 08dec2013 to 26jul2014.

Condon, David M.; Revelle, William, 2015, “Selected personality data from the SAPA-Project: 08Dec2013 to 26Jul2014”, https://doi.org/10.7910/DVN/SD7SVE, Harvard Dataverse, V4, UNF:6:9B60JNIFXXKXmyLhABjoUA== [fileUNF]
grade 12 science assessment test (SAT) (GPLv3) [link] Wood, R., Wilson, D. T., Gibbons, R. D., Schilling, S. G., Muraki, E., & Bock, R. D. (2003). TESTFACT 4 for Windows: Test Scoring, Item Statistics, and Full-information Item Factor Analysis [Computer software]. Lincolnwood, IL: Scientific Software International.
Attitude to science and technology (GPL-3) [link] Karlheinz, R. and Melich, A. (1992) Euro-Barometer 38.1: Consumer Protection and Perceptions of Science and Technology. INRA (Europe), Brussels. [computer file]
Scoliosis Quality of Life Index (CC-By Attribution 4.0 International) [link] Dueber, D. M., & Toland, M. D. (2023). A bifactor approach to subscore assessment. Psychological Methods, 28(1), 222–241. https://doi.org/10.1037/met0000459
Item responses from the Symptom Distress Scale (GPL-3) [link] Ramsay J (2023). TestGardener: Optimal Analysis of Test and Rating Scale Data. R package version 3.1.4, https://CRAN.R-project.org/package=TestGardener.
Responses to 1997 Canadian National Election Study regarding ‘traditional values’ (GPL-3) [link] Fox, J. (2006) Structural equation modeling with the sem package in R. Structural Equation Modeling 13:465–486.
Answers to the Sexual Compulsivity Scale (CC BY 4.0) [link] Sexual Compulsivity Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/SCS.zip
Data on participants’ feelings about and self-concept of sexual activities (CC BY 4.0) [link] “The Multidimensional Sexual Self-Concept Questionnaire” (MSSCQ) by Dr. William E. Snell, Jr. http://www4.semo.edu/snell/scales/MSSCQ.HTM ///Snell Jr., W. The Multidimensional Sexual Self-Concept Questionnaire” (MSSCQ) [dataset and codebook]. http://openpsychometrics.org/_rawdata/MSSCQ.zip
Data on the dark triad personality traits (CC BY 4.0) [link] Paulhus, D. L., & Jones, D. N. (2011, January). Introducing a short measure of the Dark Triad. Poster presented at the meeting of the Society for Personality and Social Psychology, San Antonio.///Short Dark Triad [dataset and codebook]. http://openpsychometrics.org/_rawdata/SD3.zip
Employee-helping behavior across 8 countries. (GPL-3) [link] Fischer, R., & Karl, J. A. (2019). A primer to (cross-cultural) multi-group invariance testing possibilities in R. Frontiers in psychology, 1507.
Abbreviated version of PVQ40 (GPL-3) [link] Borg, I., Bardi, A., & Schwartz, S. H. (2017). Does the value circle exist within persons or only across persons? Journal of Personality, 85(2), 151-162
The Salford Nature Environments Database (SNED) (NA) [link] Bendall, R. C., Royle, S., Dodds, J., Watmough, H., Gillman, J. C., Beevers, D., … & Gregory, S. E. (2025). The Salford Nature Environments Database (SNED): an open-access database of standardized high-quality pictures from natural environments. Behavior Research Methods, 57(1), 1-17.
General knowledge items (CC BY 4.0) [link] Buades-Sitjar, F., Boada, R., Guasch, M., Ferré, P., Hinojosa, J. A., & Duñabeitia, J. A. (2022). The predictors of general knowledge: Data from a Spanish megastudy. Behavior Research Methods, 54(2), 898-909.
Word-level pronunciation difficulty ratings based on spelling (CC BY 4.0) [link] Edwards, A. A., Rigobon, V. M., Steacy, L. M., & Compton, D. L. (2024). Spelling-to-pronunciation transparency ratings for the 20,000 most frequently written English words. Behavior Research Methods, 56(4), 2828-2841.
Data from a spelling test (CC BY 4.0) [link] Eskenazi, M. A., Askew, R. L., & Folk, J. R. (2023). Precision in the measurement of lexical expertise: the selection of optimal items for a spelling assessment. Behavior Research Methods, 55(2), 623-632.
Data from a spelling test (CC BY 4.0) [link] Eskenazi, M. A., Askew, R. L., & Folk, J. R. (2023). Precision in the measurement of lexical expertise: the selection of optimal items for a spelling assessment. Behavior Research Methods, 55(2), 623-632.
Spider Phobia and Fear of Spiders questionnaires (CC-By Attribution 4.0 International) [link] Grill, M., Heller, M., & Haberkamp, A. (2024). Development and initial validation of an open-access online Behavioral Avoidance Test (BAT) for spider fear. Psychological Assessment, 36(5), 351–364. https://doi.org/10.1037/pas0001305
self-reflection and insight scale (CC-By Attribution 4.0 International) [link] Silvia, P. J. (2022). The self-reflection and insight scale: Applying item response theory to craft an efficient short form. Current Psychology, 41(12), 8635-8645.
Somatic Symptom Disorder–B Criteria Scale, a diagnostic tool designed to evaluate criterion B of somatic symptom disorder according to DSM-5 criteria. Designed to evaluate patients’ cognitive, affective, and behavioral symptoms related to somatic symptom disorder. (CC BY 4.0) [link] Habib S, Mozumder MK (2025) Validation of the somatic symptom disorder—B Criteria Scale (SSD-12) in Bangladesh. PLoS ONE 20(1): e0318062. https://doi.org/10.1371/journal.pone.0318062
Fear and stress items from the Output Questionnaire (GPL 3.0) [link] De Boeck, P., & Partchev, I. (2012). IRTrees: Tree-based item response models of the GLMM family. Journal of Statistical Software, 48, 1-28.
Well-being scale from students about teachers (GPL-3) [link] Zijsling, D., Keuning, J., Keizer-Mittelhaeuser, M.-A., Naaijer, H., & Timmermans, A. (2017). Cohortonderzoek COOL5-18: Technisch rapport meting VO-3 in 2014. Onderwijs/Onderzoek
Measure of inductive reasoning (CC BY 4.0) [link] Golino, H. F., & Gomes, C. M. (2015). Investigando estágios de desenvolvimento do raciocínio indutivo usando a análise fatorial confimatória, o Modelo Logístico Simples de Rasch e o modelo de teste logístico linear (Rasch Estendido). In H. F. Golino, C. M. Gomes, A. Amantes, & G. Coelho, Psicometria Contemporânea: Compreendendo os Modelos Rasch (pp. 283-331). São Paulo: Casa do Psicólogo/Pearson.
Video ratings of emotional experience due to a video (CC BY 4.0) [link] Küster, D., Baker, M., & Krumhuber, E. G. (2022). PDSTD-The Portsmouth Dynamic Spontaneous Tears Database. Behavior Research Methods, 54(6), 2678-2692.
Tenseness from the Freiburg Complaint Checklist (GPL-3) [link] ZPID (2013). PsychData of the Leibniz Institute for Psychology Information ZPID. Trier: Center for Research Data in Psychology.
Big Five Inventory-Neuroticism Subscale (BFI-N) (CC BY 4.0) [link] Novak, L., Malinakova, K., Mikoska, P., van Dijk, J. P., Dechterenko, F., Ptacek, R., & Tavel, P. (2021). Psychometric analysis of the Czech version of the Toronto Empathy Questionnaire. International journal of environmental research and public health, 18(10), 5343.
Santa Clara Brief Compassion Scale (SCBCS) (CC BY 4.0) [link] Novak, L., Malinakova, K., Mikoska, P., van Dijk, J. P., Dechterenko, F., Ptacek, R., & Tavel, P. (2021). Psychometric analysis of the Czech version of the Toronto Empathy Questionnaire. International journal of environmental research and public health, 18(10), 5343.
Rosenberg Self-Esteem Scale (RSES) (CC BY 4.0) [link] Novak, L., Malinakova, K., Mikoska, P., van Dijk, J. P., Dechterenko, F., Ptacek, R., & Tavel, P. (2021). Psychometric analysis of the Czech version of the Toronto Empathy Questionnaire. International journal of environmental research and public health, 18(10), 5343.
Short Social Desirability Scale (SDRS) (CC BY 4.0) [link] Novak, L., Malinakova, K., Mikoska, P., van Dijk, J. P., Dechterenko, F., Ptacek, R., & Tavel, P. (2021). Psychometric analysis of the Czech version of the Toronto Empathy Questionnaire. International journal of environmental research and public health, 18(10), 5343.
Daily Spiritual Experience Scale (DSES) (CC BY 4.0) [link] Novak, L., Malinakova, K., Mikoska, P., van Dijk, J. P., Dechterenko, F., Ptacek, R., & Tavel, P. (2021). Psychometric analysis of the Czech version of the Toronto Empathy Questionnaire. International journal of environmental research and public health, 18(10), 5343.
Toronto Empathy Questionnaire (TEQ) (CC BY 4.0) [link] Novak, L., Malinakova, K., Mikoska, P., van Dijk, J. P., Dechterenko, F., Ptacek, R., & Tavel, P. (2021). Psychometric analysis of the Czech version of the Toronto Empathy Questionnaire. International journal of environmental research and public health, 18(10), 5343.
Data collected from Estonian “National Intelligence Tests” at two time points (1933/36, 2006) (CC BY 4.0) [link] Must, O., & Must, A. (2014). Data from “Changes in test-taking patterns over time” concerning the Flynn Effect in Estonia. Journal of Open Psychology Data, 2(1).
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
NA (NA) [link] Isler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
TIMSS 2011 data from Australian and Taiwanese students (GPL-3) [link] Robitzsch A, Kiefer T, Wu M (2022). TAM: Test Analysis Modules. R package version 4.1-4, https://CRAN.R-project.org/package=TAM.
Data form the Taylor manifest anxiety scale. (CC BY 4.0) [link] Taylor, J. (1953). “A personality scale of manifest anxiety”. The Journal of Abnormal and Social Psychology, 48(2), 285-290.
Tuckman’s Procrastination Scale (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
Transitive reasoning tasks (GPL-3) [link] Verweij, A. C., Sijtsma, K., & Koops, W. (1996). A Mokken scale for transitive reasoning suited for longitudinal research. International Journal of Behavioral Development, 23, 241-264. doi: 10.1177/016502549601900115
Fifteen forest managers (items) classified 387 trees (ids) for removal. (GPL-3) [link] Pommerening, A., Pallarés Ramos, C., Kędziora, W., Haufe, J., & Stoyan, D. (2018). Rating experiments in forestry: How much agreement is there in tree marking?. PLoS One, 13(3), e0194747.

two dimensional object rotation tasks (CC0 1.0) [link] Mather, Kendall; Condon, David, 2023, “Reproducibility Data: Two-Dimensional Rotation Ability Item Development”, https://doi.org/10.7910/DVN/EL62UQ, Harvard Dataverse, V1

Mather, K. A., & Condon, D. M. (2023). Development of a Public-Domain Measure of Two-Dimensional Rotation Ability and Preliminary Evidence for Discriminant Validity among Occupations. Journal of Intelligence, 11(10), 191.
UCLA loneliness scale (CC-By Attribution 4.0 International) [link] de Souza Brümmer, R., Krause, K. R., Salum, G. A., de Almeida Fleck, M. P., Porto, I. M., do Amaral, J. V., … & Hoffmann, M. S. (2024). Beyond frequency: Evaluating the validity of assessing the context, duration, ability and botherement of depression and anxiety symptoms in south Brazil. Psychological Assessment.
Unintentional Procrastination Scale (NA) [link] Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX
Self-Reports of whether one would want or do acts of verbal aggression. (GPL-3) [link] De Boeck and Wilson (2004), Explanatory Item Response Models, Springer.
Receptive vocabulary task (in German) for children 3-8 (CC BY 4.0) [link] Bohn, M., Prein, J. C., Delikaya, B., Haun, D. B. M., & Gagarina, N. (2022, August 24). oREV: an Item Response Theory based open receptive vocabulary task for 3 to 8-year-old children. https://doi.org/10.31234/osf.io/4z86w
Data on vocabulary knowledge and personality items (CC BY 4.0) [link] (2018). Vocabulary IQ Test [dataset and codebook]. http://openpsychometrics.org/_rawdata/VIQT_data.zip
Warwick-Edinburgh Mental Well-Being Scale (CC-By Attribution 4.0 International) [link] de Souza Brümmer, R., Krause, K. R., Salum, G. A., de Almeida Fleck, M. P., Porto, I. M., do Amaral, J. V., … & Hoffmann, M. S. (2024). Beyond frequency: Evaluating the validity of assessing the context, duration, ability and botherement of depression and anxiety symptoms in south Brazil. Psychological Assessment.
Longitudinal, item-level data from the Western Reserve Reading and Math Project, which concerned child development among twins (CC BY 4.0) [link] Petrill, S., Thompson, L., Plomin, R., DeThorne, L. S., & Schatschneider, C. (2021). WRRMP Full data (all waves). LDbase. https://doi.org/10.33009/ldbase.1643647104.07c5
World Health Organization Disability Assessment Schedule (CC-By Attribution 4.0 International) [link] de Souza Brümmer, R., Krause, K. R., Salum, G. A., de Almeida Fleck, M. P., Porto, I. M., do Amaral, J. V., … & Hoffmann, M. S. (2024). Beyond frequency: Evaluating the validity of assessing the context, duration, ability and botherement of depression and anxiety symptoms in south Brazil. Psychological Assessment.
Discrimination of odor mixture samples (CC BY 4.0) [link] Curtis R Luckett, Robert Pellegrino, Michelle Heatherly, Katherine Alfaro Martinez, Melissa Dein, P John Munafo, Discrimination of Complex Odor Mixtures: A Study Using Wine Aroma Models, Chemical Senses, Volume 46, 2021, bjaa079, https://doi.org/10.1093/chemse/bjaa079
Attitudinal items involving workplace negotiations. (GPL-3) [link] Bartholomew, D. (1998) Scaling unobservable constructs in social science. Applied Statistics, 47, 1–13.
Test of era-based knowledge using popular songs (CC-By Attribution 4.0 International) [link] Hartman, R., Moss, A.J., Rabinowitz, I. et al. Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online. Behav Res 55, 3313–3325 (2023). https://doi.org/10.3758/s13428-022-01944-y