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Using Mixed Models to Investigate Tendency, Process, and Typology in Item Responding
Mon, April 16, 4:05 to 6:05pm, Westin New York at Times Square, Floor: Ninth Floor, Pearl RoomSession Type: Symposium
Abstract
This symposium presents the utilization of linear mixed models (LMM) to identify different profiles of response styles, and understand how response processes and response tendencies influence individuals’ response outcome. LMMs are versatile regression-based techniques, suitable for modeling complex observation dependence due to crossed/nested data-collection design and for incorporating external variables to explain item response variation. A LMM allows a regressor’s effect on the responses to be a random variable (e.g., person or item-specific coefficients) and the relationships among the random variables can be further investigated.
The five LMMs revealed illumining findings showing that response differences were attributable to response process (e.g., guessing) and to response tendency (e.g., choosing a particular multiple choice), and identifying distinct typologies of response behaviors.
Sub Unit
Chair
Papers
Investigation of Option Position Effects in Four-Choice Multiple-Choice Items With Generalized Linear Mixed Model - Lok Heng Chau, The University of British Columbia; Minjeong Park, The University of British Columbia; Shun-Fu Hu, The University of British Columbia
Investigating Tendency in Responding to a Self-Report, Likert-Type Rating Scale: The Rosenberg's Self-Esteem Example - Minjeong Park, The University of British Columbia; Amery D. Wu, University of British Columbia
Investigating Response Profiles Using a Constrained Mixture Rating Scale Model - Perman Gochyyev, University of California - Berkeley; Mark R. Wilson, University of California - Berkeley
Are Test-Takers' Reflection on Test-Taking Processes Predictive of Their Performance on a Listening Test? - Michelle Yue Chen, Paragon Testing Enterprises / The University of British Columbia; Amery D. Wu, University of British Columbia; Yan Liu, The University of British Columbia
Mixed Models of Item Response Processes From a Social-Cognitive Perspective - Yan Liu, The University of British Columbia; Anita M. Hubley, The University of British Columbia; Michelle Yue Chen, Paragon Testing Enterprises / The University of British Columbia; Bruno D. Zumbo, The University of British Columbia