autopsych: An R Shiny tool for the reproducible Rasch analysis, differential item functioning, equating, and examination of group effects
Courtney M.G.R. Chang K.C.T. Mei B. Meissel K. Rowe L.I. Issayeva L.B.
October 2021Public Library of Science
PLoS ONE
2021#16Issue 10 October
In this paper, we present autopsych, a novel online tool that allows school assessment experts, test developers, and researchers to perform routine psychometric analyses and equating of student test data and to examine the effect of student demographic and group conditions on student test performance. The app extends current open-source software by providing (1) extensive embedded result narration and summaries for written reports, (2) improved handling of partial credit data via customizable item-person Wright maps, (3) customizable item- and person-flagging systems, (4) item-response theory model constraints and controls, (5) many-facets Rasch analysis to examine item bias, (6) Rasch fixed item equating for mapping student ability across test forms, (7) tabbed spreadsheet outputs and immediate options for secondary data analysis, (8) customizable graphical color schemes, (9) extended ANOVA analysis for examining group differences, and (10) inter-rater reliability analyses for the verifying the consistency of rater scoring systems. We present the app’s architecture and functionalities and test its performance with simulated and real-world small-, medium-, and large-scale assessment data. Implications and planned future developments are also discussed. Copyright:
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Graduate School of Education, Nazarbayev University, Nur-Sultan, Kazakhstan
Department of Statistics, University of Auckland, Auckland, New Zealand
School of Foreign Languages, Henan University, Henan, China
Faculty of Education and Social Work, University of Auckland, Auckland, New Zealand
National School of Education, Australian Catholic University, Melbourne, Australia
Center for Pedagogical Measurements, Nazarbayev Intellectual Schools, Nur-Sultan, Kazakhstan
Graduate School of Education
Department of Statistics
School of Foreign Languages
Faculty of Education and Social Work
National School of Education
Center for Pedagogical Measurements
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Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026