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On the Use of Factor-Analytic Multinomial Logit Item Response Models to Account for Individual Differences in Response Style

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  • Timothy R. Johnson
  • Daniel M. Bolt

Abstract

Multidimensional item response models are usually implemented to model the relationship between item responses and two or more traits of interest. We show how multidimensional multinomial logit item response models can also be used to account for individual differences in response style. This is done by specifying a factor-analytic model for latent responses at the category level. This permits traits and response style to be separated into separate but possibly correlated factors when properly identified by the factor structure. Special cases of this model can be viewed as generalizations of some unidimensional multinomial logit item response models. In this article, we describe and demonstrate the specification and implementation of these models to account for individual differences in response style that would otherwise compromise the validity of the measurement model.

Suggested Citation

  • Timothy R. Johnson & Daniel M. Bolt, 2010. "On the Use of Factor-Analytic Multinomial Logit Item Response Models to Account for Individual Differences in Response Style," Journal of Educational and Behavioral Statistics, , vol. 35(1), pages 92-114, February.
    • Handle: RePEc:sae:jedbes:v:35:y:2010:i:1:p:92-114
    DOI: 10.3102/1076998609340529
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    References listed on IDEAS

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    Cited by:

    1. Anne Thissen-Roe & David Thissen, 2013. "A Two-Decision Model for Responses to Likert-Type Items," Journal of Educational and Behavioral Statistics, , vol. 38(5), pages 522-547, October.
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    3. Mark L. Davison & David J. Weiss & Joseph N. DeWeese & Ozge Ersan & Gina Biancarosa & Patrick C. Kennedy, 2023. "A Diagnostic Tree Model for Adaptive Assessment of Complex Cognitive Processes Using Multidimensional Response Options," Journal of Educational and Behavioral Statistics, , vol. 48(6), pages 914-941, December.
    4. Ulf Böckenholt, 2014. "Modeling Motivated Misreports to Sensitive Survey Questions," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 515-537, July.

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