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Abstract Title: Analyzing Multiple-Choice-Multiple-Response Items Using Item Response Theory
Abstract Type: Contributed Poster Presentation
Abstract: Multiple-choice-multiple-response (MCMR) items allow students to select as many responses as they think are correct to a given question stem. Using MCMR items can provide researchers and instructors with a richer and more complete picture of what students do and do not understand about a particular topic. Interpreting students' MCMR responses is more nuanced than it is for single-response items. Unfortunately, many typical analyses of data from multiple-choice tests assume dichotomously-scored items, which eliminates the possibility of incorporating the rich information from students' response patterns to MCMR items. We present a methodology for using a combination of item response theory models to analyze data from MCMR items. These methods could be applied to inform scoring models that incorporate partial credit for various response patterns.
Session Time: Poster Session 3
Poster Number: III-34
Contributed Paper Record: Contributed Paper Information
Contributed Paper Download: Download Contributed Paper

Author/Organizer Information

Primary Contact: Trevor I Smith
Rowan University
Glassboro, NJ 08028
and Co-Presenter(s)
Philip Eaton, Stockton University
Suzanne White Brahmia, University of Washington
Alexis Olsho, United States Air Force Academy
Charlotte Zimmerman, University of Washington
Andrew Boudreaux, Western Washington University