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Article
The Impact of Varied Discrimination Parameters on Mixed-Format Item Response Theory Model Selection
Educational and Psychological Measurement (2013)
  • Tiffany A. Whittaker, University of Texas at Austin
  • Wanchen Chang, University of Texas at Austin
  • Barbara G. Dodd, University of Texas at Austin
Abstract
Whittaker, Chang, and Dodd compared the performance of model selection criteria when selecting among mixed-format IRT models and found that the criteria did not perform adequately when selecting the more parameterized models. It was suggested by M. S. Johnson that the problems when selecting the more parameterized models may be because of the low variance of the discrimination parameters used to generate the data. This simulation study reproduced the Whittaker et al. study by incorporating more variability in the discrimination parameter estimates used to generate the data. The results indicated that the majority of the criteria performed more accurately when selecting the more parameterized models. Differences among the criteria performance under certain conditions and implications for model selection practice are discussed.
Keywords
  • IRT model selection,
  • mixed-format IRT,
  • discrimination variability,
  • model selection criteria
Publication Date
June, 2013
Citation Information
Tiffany A. Whittaker, Wanchen Chang and Barbara G. Dodd. "The Impact of Varied Discrimination Parameters on Mixed-Format Item Response Theory Model Selection" Educational and Psychological Measurement Vol. 73 Iss. 3 (2013)
Available at: http://works.bepress.com/wanchen_chang/2/