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New Developments in Item Response Theory Modeling and Applications
Fri, April 25, 9:50 to 11:20am MDT (9:50 to 11:20am MDT), The Colorado Convention Center, Floor: Meeting Room Level, Room 707Session Type: Paper Session
Abstract
This session highlights innovative item response theory methods and modeling with diverse and modern applications. The topics include introducing a new collaborative model for evaluating and adapting the UCLA Loneliness Scale for effective use with Autistic individuals, exploring intra-individual response variability to identify unmotivated participants, particularly among high and low achievers, using person-fit indicators, developing new information-weighted linking methods for mixed-format tests, applying Rasch measurement framework to the Conceptual Assessment of Natural Selection (CANS) assessment, and developing an innovative measurement model addressing directional testlet effects in polytomous items.
Sub Unit
Chair
Papers
A Collaborative Approach to Adapting Measures for Use With Autistic Individuals: The UCLA Loneliness Scale - Abigail M. A. Love, Autism Spectrum Australia (Aspect); Chris Edwards, Autism Spectrum Australia (Aspect); Ru Ying Cai, Autism Spectrum Australia (Aspect); Kana Grace, University College London - IOE; Michael D. Toland, University of Toledo; David Dueber, University of Toledo; Michelle H. Lim, University of Sydney; Vicki Gibbs, Autism Spectrum Australia (Aspect)
Identifying Unmotivated Participants: The Role of Intra-Individual Response Variability - Maisaa Taleb Alahmadi, Education and Training Evaluation Commission
IRT Characteristic Curve Linking Methods Weighted by Information for Mixed-Format Tests - Shaojie Wang, Guangdong University of Education; Won-Chan Lee, University of Iowa; Minqiang Zhang, South China Normal University
Measuring Undergraduate Evolution Learning Using the CANS (Conceptual Assessment of Natural Selection): Assessing Psychometric Properties Using a Rasch Measurement Framework - Austin Zuckerman, Cornell University; Gena Sbeglia, San Diego State University
Modeling Directional Testlet Effects on Multiple Open-Ended Questions - Kuan-Yu Jin, Hong Kong Examinations and Assessment Authority