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Rasch Modeling: Methodology and Application
Sat, April 10, 2:30 to 3:30pm EDT (2:30 to 3:30pm EDT), Division D, Division D Roundtable SessionsSession Type: Roundtable Session
Abstract
This round table discussion focuses on the development and application of the Rasch model. One paper examines the effect of sample size and test length on the estimation of Rasch modeling. Another paper uses the Rasch model to explore the item-reduction method. There are also papers discussing the Rasch model's application in validating an assessment about the understanding of energy and examining the rater effect in measuring creativity. The last paper provides a synthesis of articles in the Journal of Applied Measurement.
Sub Unit
Chair
Papers
Validity and Test Length Reduction Strategies for Complex Assessments - Lance Kruse, North Carolina State University; Gregory Stone; Toni A. May (Sondergeld), Drexel University; Jonathan David Bostic, Bowling Green State University
Comparing Maximum Likelihood Estimation Methods in the Rasch Model With Sample Sizes and Test Lengths - Jiaqi Zhang, SKT Education Group
An Application of Many-Facet Rasch Model Approach to Assessing Creativity in Science - Haiying Long, The University of Kansas; Jue Wang, University of Science and Technology of China
Using Rasch to Explore Students' Understanding of Energy: A Modeling-Based Intervention Study - Ayca Karasahinoglu Fackler, The University of Georgia; Daniel K Capps, University of Georgia; Jonathan Todd Shemwell, The University of Alabama
Synthesis of Articles in the Journal of Applied Measurement: 2000–2019 - Cheng Hua, University of Alabama