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autopsych: An R Shiny tool for the reproducible Rasch analysis, differential item functioning, equating, and
Matthew G R Courtney1, Kevin C T Chang2, Bing Mei3
1Graduate School of Education, Nazarbayev University, Nur-Sultan, Kazakhstan.
Autopsy, a new online tool, simplifies psychometric analyses and equating for student test data. It helps assess demographic impacts on performance, enhancing educational assessment research.
Area of Science:
- Educational Measurement
- Psychometrics
- Data Analysis
Background:
- Current psychometric software lacks comprehensive features for analyzing student test data and demographic influences.
- There is a need for accessible tools that integrate routine analyses with detailed reporting and customizable data visualization.
Purpose of the Study:
- To introduce Autopsy, a novel online application designed for psychometric analysis and equating of student assessment data.
- To enhance the examination of demographic and group effects on student test performance.
- To extend open-source psychometric software with advanced functionalities for researchers and assessment experts.
Main Methods:
- Development of an online tool, Autopsy, integrating various psychometric analyses.
- Implementation of customizable features including Wright maps, flagging systems, and graphical schemes.
- Inclusion of advanced analyses such as many-facets Rasch analysis, Rasch fixed item equating, and ANOVA.
- Testing the application's performance using simulated and real-world assessment data.
Main Results:
- Autopsy provides extensive embedded result narration, customizable item-person Wright maps, and advanced Rasch modeling.
- The tool facilitates item bias examination, ability mapping across test forms, and secondary data analysis.
- It supports inter-rater reliability analyses and extended ANOVA for group difference examination.
Conclusions:
- Autopsy offers a comprehensive and user-friendly platform for psychometric analysis and equating.
- The tool's advanced features and customizable options support in-depth analysis of student test performance and demographic factors.
- Future developments aim to further expand the application's capabilities in educational assessment.
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