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ERIC Number: EJ813078
Record Type: Journal
Publication Date: 2008
Pages: 21
Abstractor: As Provided
Reference Count: 48
ISSN: ISSN-0146-6216
Fitting a Mixture Item Response Theory Model to Personality Questionnaire Data: Characterizing Latent Classes and Investigating Possibilities for Improving Prediction
Maij-de Meij, Annette M.; Kelderman, Henk; van der Flier, Henk
Applied Psychological Measurement, v32 n8 p611-631 2008
Mixture item response theory (IRT) models aid the interpretation of response behavior on personality tests and may provide possibilities for improving prediction. Heterogeneity in the population is modeled by identifying homogeneous subgroups that conform to different measurement models. In this study, mixture IRT models were applied to the Extroversion and Neuroticism scales of the Amsterdam Biographical Questionnaire, and a three-class mixture version of the nominal response model was identified as the best fitting model. The latent classes differed with respect to social desirability and ethnic background. Within latent classes, response tendencies demonstrated a differential use of the "?" category. An important issue is whether applying mixture IRT models results in a better prediction of relevant external criteria compared to a one-class model. For the Neuroticism scale the prediction improved, but not for the Extraversion scale. The results demonstrate the possible advantage of applying mixture IRT models to personality questionnaires. (Contains 7 figures and 7 tables.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Netherlands (Amsterdam)