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Random Item Effects Models

  • Jean-Paul Fox
Chapter
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

Abstract

Cluster-speci_c item e_ects parameters are introduced that are assumed to vary over clusters of respondents. The modeling of cluster-speci_c item parameters relaxes the assumptions of measurement invariance. Item characteristic di_erences are simply allowed, and it is not necessary to classify items as being invariant or noninvariant. Tests and estimation methods are discussed for item response models with random item e_ects parameters.

Keywords

Measurement Invariance Threshold Parameter Item Parameter Item Characteristic Item Discrimination 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer New York 2010

Authors and Affiliations

  • Jean-Paul Fox
    • 1
  1. 1.Department of Research Methodology, Measurement, and Data Analysis Faculty of Behavioral SciencesUniversity of TwenteEnschedeThe Netherlands

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