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
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.
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.
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 Unpublished Manual for the Patient-Reported Outcomes Measurement Information System (PROMIS) Version 1.1.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
Item responses for study 1 of the Approaches to Text Questionnaire wherein participants completed survey items to the 87-item TReAT-Q, need for cognition, and a subset of questions from the adult reading history questionnaire [link] Calloway RC, Helder A, Perfetti CA. Study 1 TReATQ, RH, NFC Raw Data [data set] from “A measure of individual differences in readers’ approaches to text and its relation to reading experience and reading comprehension”. Behav Res Methods. 2023 Feb;55(2):899-931. https://osf.io/e7xpy/?view_only=0b3180a18cd94803a7c743096c95dd79 <button id=“cite-button-approaches_to_text_study1” class=“citation-button” onclick=“getCitation(@dataset{calloway_study_2023, author = {Calloway, Regina C. and Helder, Anne and Perfetti, Charles A.}, title = {Study 1 {TReATQ}, {RH}, {NFC} Raw Data from "A measure of individual differences in readers\\' approaches to text and its relation to reading experience and reading comprehension"}, year = {2023}, publisher = {OSF}, journal = {Behavior Research Methods}, volume = {55}, number = {2}, pages = {899--931}, url = {https://osf.io/e7xpy/?view_only=0b3180a18cd94803a7c743096c95dd79} }, ‘cite-button-approaches_to_text_study1’, ‘cite-text-approaches_to_text_study1’)”> Get BibTex
Item responses for study 2 of Approaches to Text wherein participants completed a host of surveys, which collected items on participants’ comprehension, vocabulary, reading history, author recognition, etc [link] Calloway RC, Helder A, Perfetti CA. Study 2 Data [data set] from “A measure of individual differences in readers’ approaches to text and its relation to reading experience and reading comprehension”. Behav Res Methods. 2023 Feb;55(2):899-931. https://osf.io/e7xpy/?view_only=0b3180a18cd94803a7c743096c95dd79 <button id=“cite-button-approaches_to_text_study2” class=“citation-button” onclick=“getCitation(@dataset{calloway_study2_2023, author = {Calloway, Regina C. and Helder, Anne and Perfetti, Charles A.}, title = {Study 2 Data from "A measure of individual differences in readers\\' approaches to text and its relation to reading experience and reading comprehension"}, year = {2023}, publisher = {OSF}, journal = {Behavior Research Methods}, volume = {55}, number = {2}, pages = {899--931}, url = {https://osf.io/e7xpy/?view_only=0b3180a18cd94803a7c743096c95dd80}, type = {dataset} }, ‘cite-button-approaches_to_text_study2’, ‘cite-text-approaches_to_text_study2’)”> Get BibTex
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
Response data for skill-building and non-skill-building items from ASSISTments. Data from SY 2009-10 [link]
Response data for items from ASSISTments. Data from SY 2012-13 [link]
Response data for items from ASSISTments. Data from SY 2015-16 [link]
Response data for items from ASSISTments. Data from ASSISTments Data Mining Competition 2017 [link]
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.
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.
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.
Items from a study testing difference between blocked and interleaved instruction for fraction addition and multiplication [link] Patel, R., Liu, R., Koedinger, K. (2017) Dissertation data [dataset]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/DatasetInfo?datasetId=1190
Behavior problems index from NLSY [link] Kim, M., Winkler, C., & Talley, S. (2021). Binary item CFA of Behavior Problem Index (BPI) using Mplus: A step-by-step tutorial. The Quantitative Methods for Psychology, 17, 141-153.
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

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.
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.
Data from a high-stakes reading comprehension test (GPL-3) [link] Ravand, H., Barati, H., & Widhiarso, W. (2013). Exploring diagnostic capacity of a high stakes reading comprehension test: A pedagogical demonstration. Iranian Journal of Language Testing, 3(1), 1-27.
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
Over 10-week sequence of problem-solving activities, undergraduate students received either (1) fixed sequence of sense-making support and perceptual-fluency, or (2) adaptively assigned supports based on solving interactions. Findings were used to understand which intervention helped facilitate reduced confusion and mistake-making while problem solving in chemistry [link] Rau, M. A., Zahn, M., Misback, E., Herder, T., & Burstyn, J. (2021). Adaptive support for representational competencies during technology-based problem solving in chemistry [data set]. Journal of the Learning Sciences. doi:10.1080/10508406.2021.1888733
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.
Likert scale items evaluating students’ Chinese language learning strategies [link] Pavlik, P. (2011). Motivation and Metacognition in Chinese Vocabulary Learning, Experiment 4 [data set]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/DatasetInfo?datasetId=459
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
Data on student performance on math items from an intelligent tutoring system [link] Stamper, J., Niculescu-Mizil, A., Ritter, S., Gordon, G.J., & Koedinger, K.R. (2010). Algebra I 2005-2006. Development data set from KDD Cup 2010 Educational Data Mining Challenge. Find it at http://pslcdatashop.web.cmu.edu/KDDCup/downloads.jsp
Data on student performance on math items from an intelligent tutoring system [link] Stamper, J., Niculescu-Mizil, A., Ritter, S., Gordon, G.J., & Koedinger, K.R. (2010). Algebra I 2006-2007. Development data set from KDD Cup 2010 Educational Data Mining Challenge. Find it at http://pslcdatashop.web.cmu.edu/KDDCup/downloads.jsp
Data on student performance on math items from an intelligent tutoring system [link] Stamper, J., Niculescu-Mizil, A., Ritter, S., Gordon, G.J., & Koedinger, K.R. (2010). Algebra I 2008-2009. Challenge data set from KDD Cup 2010 Educational Data Mining Challenge. Find it at http://pslcdatashop.web.cmu.edu/KDDCup/downloads.jsp
Data on student performance on math items from an intelligent tutoring system [link] Stamper, J., Niculescu-Mizil, A., Ritter, S., Gordon, G.J., & Koedinger, K.R. (2010). Bridge to Algebra 2006-2007. Development data set from KDD Cup 2010 Educational Data Mining Challenge. Find it at http://pslcdatashop.web.cmu.edu/KDDCup/downloads.jsp
Data on student performance on math items from an intelligent tutoring system [link] Stamper, J., Niculescu-Mizil, A., Ritter, S., Gordon, G.J., & Koedinger, K.R. (2010). Bridge to Algebra 2008-2009. Challenge data set from KDD Cup 2010 Educational Data Mining Challenge. Find it at http://pslcdatashop.web.cmu.edu/KDDCup/downloads.jsp
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]
Arithmetic items from MathGarden [link] Coomans, F., Hofman, A., Brinkhuis, M., van der Maas, H. L., & Maris, G. (2016). Distinguishing fast and slow processes in accuracy-response time data. PloS one, 11(5), e0155149.
Arithmetic items from MathGarden [link] Coomans, F., Hofman, A., Brinkhuis, M., van der Maas, H. L., & Maris, G. (2016). Distinguishing fast and slow processes in accuracy-response time data. PloS one, 11(5), e0155149.
Tasks from game “Letter Chaos” [link] Coomans, F., Hofman, A., Brinkhuis, M., van der Maas, H. L., & Maris, G. (2016). Distinguishing fast and slow processes in accuracy-response time data. PloS one, 11(5), e0155149.
Arithmetic items from MathGarden [link] Coomans, F., Hofman, A., Brinkhuis, M., van der Maas, H. L., & Maris, G. (2016). Distinguishing fast and slow processes in accuracy-response time data. PloS one, 11(5), e0155149.
Tasks from game “Set” [link] Coomans, F., Hofman, A., Brinkhuis, M., van der Maas, H. L., & Maris, G. (2016). Distinguishing fast and slow processes in accuracy-response time data. PloS one, 11(5), e0155149.
Arithmetic items from MathGarden [link] Coomans, F., Hofman, A., Brinkhuis, M., van der Maas, H. L., & Maris, G. (2016). Distinguishing fast and slow processes in accuracy-response time data. PloS one, 11(5), e0155149.
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.
Additional item-level data from the 2019 CSEDM workshop released after challenge end [link] Rivers, K., Price, T. (2019). 2nd CSEDM Data Challenge - F19 All Data v1.0 [data set]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/Files?datasetId=2865
Additional item-level data from the 2019 CSEDM workshop released in Spring 2019 [link] Rivers, K., Price, T. (2019). 2nd CSEDM Data Challenge - S19 All Data v1.0 [data set]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/Files?datasetId=2866
Programming IRW and process data from the 2019 Education Data Mining in Computer Science Education workshop [link] Rivers, K., Price, T. (2019). CSEDM Data Challenge v1.1 (Updated 2019/01/29) [data set]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/Files?datasetId=2865
Survey of leisure time usage (GPL-3) [link] http://www.labstat.it/home/wp-content/uploads/2015/09/relgoods.txt
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
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
Participants were asked to look at two similar pictures and identify (1) whether there were any differences between the photos, and (2) where the differences were. Participants were monetarily incentivized to spot the differences. [link] Liu, J., Shen, Q., Zhang, J. et al. UnsolvableItemsSelection_Raw_CombinedSampleN=131 [data set]. Behav Res 53, 1935–1944 (2021). https://doi.org/10.3758/s13428-020-01526-w
Similar to study 1, participants were asked to identify areas of difference between two photos. Unlike study 1, there was no opportunity to cheat. Participants were monetarily incentivized to spot the differences. [link] Liu, J., Shen, Q., Zhang, J. et al. SolvableItemsSelection_Summary_CombinedSampleN=135 [data set]. Behav Res 53, 1935–1944 (2021). https://doi.org/10.3758/s13428-020-01526-w
Participants watched a die tossing video and asked to predict in advance which numbers the die would land on. Responses record whether their predictions were correct. Participants were monetarily incentivized to spot the differences. [link] Liu, J., Shen, Q., Zhang, J. et al. DieGuessingTask_Raw [data set]. Behav Res 53, 1935–1944 (2021). https://doi.org/10.3758/s13428-020-01526-w
Participants were presented with a square bisected by a vertical line. Each side of the line had a certain number of dots, and participants were asked to identify which side had more dots. They were told that it was more difficult to assess the number of dots on the left side, and so the monetary reward for guessing the left panel was higher [link] Liu, J., Shen, Q., Zhang, J. et al. DotsTask_Raw [data set]. Behav Res 53, 1935–1944 (2021). https://doi.org/10.3758/s13428-020-01526-w
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.
Items from a digital games study to test the theory that fractions should be introduced to students mixed with whole numbers on the same line to demonstrate that they represent magnitudes of the same type of whole numbers [link] Lomas, D. (2011). Classroom: Exp1 - UCLA-Kentucky [dataset]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/Files?datasetId=445
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.
Modeling of second language acquisition [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 [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 [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
Data from Lexile tasks given to 4th graders [link] Kyngdon, A. (2011). Plausible measurement analogies to some psychometric models of test performance. British Journal of Mathematical & Statistical Psychology, 64(3), 478–497.
Data from Lexile tasks given to 8th graders [link] Kyngdon, A. (2011). Plausible measurement analogies to some psychometric models of test performance. British Journal of Mathematical & Statistical Psychology, 64(3), 478–497.
Data on Chilean youths’ feelings and self-evaluations of social belonging, academic performance, ambitions, technology use, etc. (3rd round of longitudinal study) [link] n/a
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.
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).
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/
Longitudinal data from a modified CESD in the Health and Retirement Study (HRS) [link] Steffick, D. E., Wallace, R. B., & Herzog, A. R. (2000). Documentation of affective functioning measures in the Health and Retirement Study. Ann Arbor, MI: University of Michigan, 15.
Longitudinal data on chronic conditions, ADL, and IADLs from the Health and Retirement Study (HRS) [link] RAND HRS Longitudinal File 2018 (V2). Produced by the RAND Center for the Study of Aging, with funding from the National Institute on Aging and the Social Security Administration. Santa Monica, CA (July 2022).
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
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.
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.
Study from Florida about twins 9 years and older. Items related to twins’ behavior and environment (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
Study from Florida about twins 9 years and older. Items related to twins’ home and school environment, behavioral tendencies, and attitudes about schooling/home/social aspects (CC BY 4.0) [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.
Data from an experiment using an online tutor to teach fractions [link] Aleven, V., Rau, M., Weitekamp, D. (2013) Cleaned logs with modified step names [data set]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/Files?datasetId=580
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.
Attitudes towards capital punishment [link] Roberts, J. S. (1995). Item response theory approaches to attitude measurement. (Doctoral dissertation, University of South Carolina, Columbia, 1995). Dissertation Abstracts International, 56, 7089B.
Attitudes about censorship [link] Roberts, J. S. (1995). Item response theory approaches to attitude measurement. (Doctoral dissertation, University of South Carolina, Columbia, 1995). Dissertation Abstracts International, 56, 7089B.
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
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.
Data from an online geomtry course, which allows students to get hints [link] Aleven, V., Bllings, B. (2007). Step tables and test scores [data set]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/Files?datasetId=122
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.
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.
Items from a study that compares a Cognitive Tutor Algebra tutor (used in a handwriting-based interface) to one enhanced with examples [link] Anthony, L., & Ritter, S. (2008). Handwriting2/Examples Spring 2007. Dataset 165 in DataShop. Retrieved from https://pslcdatashop.web.cmu.edu/DatasetInfo?datasetId=165.
Items from a study used to assess various cognitive tutor interventions in a handwriting-based interface [link] Anthony, L., & Ritter, S. (2008). Handwriting/Examples Dec 2006. Dataset 145 in DataShop. Retrieved from https://pslcdatashop.web.cmu.edu/DatasetInfo?datasetId=145.
Data from an online tutoring system used to study human learning rates [link] Koedinger, K. R., Carvalho, P., Liu, R., & McLaughlin, E. A. (2023). Student-step roll up for ds104 from An Astonishing Regularity in Student Learning Rate [data set]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/Files?datasetId=4629
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]
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
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
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.
IPIP (personality test) item response data from Johnson’s 2005 study [link] Johnson, J. A. (2015, November 4). Data from Johnson, J. A. (2005). Ascertaining the validity of web-based personality inventories. Journal of Research in Personality, 39, 103-129. doi:10.1016/j.jrp.2004.09.009. Retrieved from osf.io/sxeq5
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.
Item data from exercsies from Junyi Academy, which is an online learning platform [link] Chang, H., Hsu, H., & Chen, K. (2015). Problem log, from “Modeling Exercise Relationships in E-Learning: A Unified Approach” [data set]. International Conference on Educational Data Mining (EDM). https://pslcdatashop.web.cmu.edu/Files?datasetId=1198 <button id=“cite-button-junyi_academy_problems” class=“citation-button” onclick=“getCitation(@misc{chang2015problem, title={Problem log, from "Modeling Exercise Relationships in E-Learning: A Unified Approach"}, author={Chang, Hao-Chuan and Hsu, Hsiu-Mei and Chen, Kuan-Yu}, year={2015}, howpublished={\\url{https://pslcdatashop.web.cmu.edu/Files?datasetId=1198}}, note={International Conference on Educational Data Mining (EDM)}, type={Data set} }, ‘cite-button-junyi_academy_problems’, ‘cite-text-junyi_academy_problems’)”> Get BibTex
Affective self-report data (brief scales on depression, self-esteem, loneliness, self-derogation) from the “Monitoring the Future” study [link] Miech, Richard A., Johnston, Lloyd D., Bachman, Jerald G., O’Malley, Patrick M., Schulenberg, John E., and Patrick, Megan E. Monitoring the Future: A Continuing Study of American Youth (12th-Grade Survey), 2021. Inter-university Consortium for Political and Social Research [distributor], 2022-10-31. https://doi.org/10.3886/ICPSR38503.v1
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.
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.
Spelling test results [link] Andrews, S., Veldre, A. & Clarke, I.E. Measuring Lexical Quality: The Role of Spelling Ability. Behav Res 52, 2257–2282 (2020). https://doi.org/10.3758/s13428-020-01387-3
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
In order to accurately and effectively measure the level of anxiety symptoms in the elderly (above 60 years old), from 2010 to 2011, this project translated, test-tested, and used the English version of the Geriatric Anxiety Inventory (GAI) developed in 2007 by Australian scholar Pachana. This dataset includes the responses from 1318 Chinese elderly people living in urban communities, rural communities, and nursing homes in Beijing. [link] Wang T, Tang D, Gong X, Wang D. Anxiety and Depression Among Older People Dwelling in Nursing Homes Versus Communities. Chinese Journal of Clinical Psychology,2012,20(6):868-870.
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.
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).
Data from the Moral Foundations Vignette (MFV) [link] Crone, D.L., Rhee, J.J. & Laham, S.M. Developing brief versions of the Moral Foundations Vignettes using a genetic algorithm-based approach. Behav Res 53, 1179–1187 (2021). https://doi.org/10.3758/s13428-020-01489-y
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.
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.
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 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. #’
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.
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
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.
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.
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
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.

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
Grading data from an OLI psychology course [link] Cheng, H. (2022). Gradebook for OLI Psych course [dataset]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/Files?datasetId=5255
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

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]
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]

Data on read from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on science from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on math from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on problem solving from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on science from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on math from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on science from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on math from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on science from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]

Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]
Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]
Data on math, science and reading from a large scale international assessment of 15 year olds (CC BY-NC-SA 3.0 IGO) [link]
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
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
Children aged 2 - 5 answer item that assess their social and emotional skills, cognitive skills, early math, early reading, and other indicators of kindergarten readiness (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
Data on behavioral and achievement assessment items from elementary school children (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 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
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
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.
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.
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.
GSS data on abortion attitudes (GPL-3) [link] n/a
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 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.
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.
US House votes [link] Lewis, Jeffrey B., Keith Poole, Howard Rosenthal, Adam Boche, Aaron Rudkin, and Luke Sonnet (2023). Voteview: Congressional Roll-Call Votes Database. https://voteview.com/
US Senate votes [link] Lewis, Jeffrey B., Keith Poole, Howard Rosenthal, Adam Boche, Aaron Rudkin, and Luke Sonnet (2023). Voteview: Congressional Roll-Call Votes Database. https://voteview.com/
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

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]
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
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.
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.
Data from two digital games (Slingshot Challenge and Star Mines) for testing prisoner’s dilemma [link] Ribeiro Eulalio Cabral, G., Rodrigues Sampaio, L., Ribeiro Eulalio Cabral, G. et al. Slingshot Challenge and Star Mines: Two digital games as a prisoner’s dilemma to assess cooperation in children. Behav Res 54, 597–610 (2022). https://doi.org/10.3758/s13428-021-01661-y
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
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.
Response from a state reading assessment (grade 10) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state reading assessment (grade 3) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state reading assessment (grade 4) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state reading assessment (grade 5) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state reading assessment (grade 6) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state reading assessment (grade 7) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state reading assessment (grade 8) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state reading assessment (grade 9) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state math assessment (grade 5) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state math assessment (grade 6) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state math assessment (grade 7) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state math assessment (grade 8) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
Response from a state math assessment (grade 9) [link] Briggs, D. C., & Domingue, B. (2013). The gains from vertical scaling. Journal of Educational and Behavioral Statistics, 38(6), 551-576.
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.
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).
Forced choice responses to big 5 items [link] Bunji, K., Okada, K. Joint modeling of the two-alternative multidimensional forced-choice personality measurement and its response time by a Thurstonian D-diffusion item response model. Behav Res 52, 1091–1107 (2020). https://doi.org/10.3758/s13428-019-01302-5
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.
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.
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
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
Attitudinal items involving workplace negotiations. (GPL-3) [link] Bartholomew, D. (1998) Scaling unobservable constructs in social science. Applied Statistics, 47, 1–13.
Ten item vocabulary test included in General Social Suvey (https://en.wikipedia.org/wiki/Wordsum) [link] Malhotra, N., Krosnick, J. A., & Haertel, E. (2007). The psychometric properties of the GSS Wordsum vocabulary test. GSS Methodological Report, 11, 1-63.
Items from online algebra tutoring, assessing whether students get the item correct on the first attempt [link] Heffernan, N. (2010). 2004-2005 question level data [data set]. DataShop @ CMU. https://pslcdatashop.web.cmu.edu/Files?datasetId=92
Data from the Narcissistic Admiration and Rivalry Questionnaire (NARQ) along with Rosenberg self-esteem (RSE) and Multigroup Ethnic Identity Measure (MEIM). [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

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 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 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 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 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]

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 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 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 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]
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.
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.
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.
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.
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.
NBA shots by player [link]
Measure of Experiential avoidance [link] Langer, Á. I., Ponce, F. P., Ordóñez-Carrasco, J. L., Fuentes-Ferrada, R., Mac-Ginty, S., Gaete, J., & Núñez, D. (2024). Psychometric evidence of the Acceptance and Action Questionnaire-II (AAQ-II): an item response theory analysis in university students from Chile. BMC psychology, 12(1), 111.
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.
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.
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
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/
Data from a spelling test [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 [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.
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.
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.
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.
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
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
Data from Triad Identity Matching (TIM) tasks. [link] Jeckeln, G., Hu, Y., Cavazos, J. G., Yates, A. N., Hahn, C. A., Tang, L., … & O’Toole, A. J. (2024). Face identification proficiency test designed using item response theory. Behavior Research Methods, 56(3), 1244-1259.
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.
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.
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
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
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
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.
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.
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
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
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
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
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.
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.
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
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
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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]
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.
Sensitivity to Threat and Affiliative Reward Scale (STARS) [link] Perlstein, S., Wagner, N., Domínguez-Álvarez, B., Gómez-Fraguela, J. A., Romero, E., Lopez-Romero, L., & Waller, R. (2023). Psychometric properties, factor structure, and validity of the sensitivity to threat and affiliative reward scale in children and adults. Assessment, 30(6), 1914-1934.
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.
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
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.
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.

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 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]

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
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.

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

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]

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]

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

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.

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

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]

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

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]

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]
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]

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]

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]

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]
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.
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.
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.
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
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
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Preschool Implicit Association Test (CC-By Attribution 4.0 International) [link] https://doi.org/10.17605/OSF.IO/K2QEW
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.
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.
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.
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.
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.

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

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
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
[link] Vermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
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

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

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

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

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

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

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

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

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

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]

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

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.
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]

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]
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.
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.
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.
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.
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.
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.

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]
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.
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.
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.
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.
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).
[link] Gasiorowska, A., Glomb, K., & Kesebir, P. (2023). Psychometric validation of the polish version of the emotional style questionnaire. Current Psychology, 42(26), 22351-22369.

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]
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
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
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
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
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
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
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
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
[link] Keech, J. J., Orbell, S., Hagger, M. S., O’Callaghan, F. V., & Hamilton, K. (2021). Psychometric properties of the stress control mindset measure in university students from Australia and the UK. Brain and Behavior, 11(2), e01963.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.

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.

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.
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.
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
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 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.
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 Connor-Davison Resilience Scale [link] García León, M. D. L. Á., González Gómez, A., Robles Ortega, H., Padilla García, J. L., & Peralta Ramírez, M. I. (2019). Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in the Spanish population.
The Revised Child Anxiety and Depression Scale−30 [link] García León, M. D. L. Á., González Gómez, A., Robles Ortega, H., Padilla García, J. L., & Peralta Ramírez, M. I. (2019). Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in the Spanish population.
KIDSCREEN–10 [link] García León, M. D. L. Á., González Gómez, A., Robles Ortega, H., Padilla García, J. L., & Peralta Ramírez, M. I. (2019). Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in the Spanish population.
The Strength and Difficulties Questionnaire [link] García León, M. D. L. Á., González Gómez, A., Robles Ortega, H., Padilla García, J. L., & Peralta Ramírez, M. I. (2019). Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in the Spanish population.
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.
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

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.

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]

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]

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]

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]
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
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]

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]
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 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 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 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 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 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 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 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 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 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 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 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 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]
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]
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 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]
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]
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
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
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

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

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

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]

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]
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
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.
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/

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
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.
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.
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.
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.
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.
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.

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]

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]
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
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
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
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
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
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
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
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
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
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

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

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

Body Appreciation Scale-2 for Children (BAS-2C) (CC 1.0) [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]
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]
Attitude towards the environment (GPL-3) [link] Brook, L., Taylor, B. and Prior, G. (1991) British Social Attitudes, 1990, Survey. London: SCPR.
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]
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
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
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
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
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 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 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
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
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
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
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
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
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
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
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
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
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
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

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.
Metacognitive Beliefs About Procrastination, Academic Functional Procrastination, Lay’s General Procrastination Scale, Adult Inventory of Procrastination, Active Procrastination Scale, Unintentional Procrastination Scale, Procrastination Assessment Scale for Students, Irrational Procrastination Scale, Pure Procrastination Scale, Tuckman’s Procrastination Scale, Behavioral Measures of Delay, Days to Study Completion, Pacing Styles (CC BY 4.0) [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
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
Cognitive Reflection Test (CC-By Attribution 4.0 International) [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.
Positive and Negative Affect Schedule (CC-By Attribution 4.0 International) [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.
Domain-Specific Risk-Taking Scale in its German version, ethics for pupils(DOSPERT-ES) (CC-By Attribution 4.0 International) [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
Test Anxiety Inventory–German version(TAI-G) (CC-By Attribution 4.0 International) [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
Free Response Matrices(FRM), FRM with MC Format (CC-By Attribution 4.0 International) [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

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]
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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 - 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 - 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 - 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
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 - 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 - 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 - 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 - 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
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
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
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