Fitting Item Response Theory Models to Two Personality Inventories: Issues and Insights

Authors:
  • OCOleksandr S. Chernyshenko
    Oleksandr S. Chernyshenko
  • SSStephen Stark
    Stephen Stark
  • FDFritz Drasgow
    Fritz Drasgow
  • BWBruce Williams
    Bruce Williams

Abstract
The present study compared the fit of several IRT models to two personality assessment instruments. Data from 13,059 individuals responding to the US-English version of the Fifth Edition of the Sixteen Personality Factor Questionnaire (16PF) and 1,770 individuals responding to Goldberg's 50 item Big Five Personality measure were analyzed. Various issues pertaining to the fit of the IRT models to personality data were considered. We examined two of the most popular parametric models designed for dichotomously scored items (i.e., the two- and three-parameter logistic models) and a parametric model for polytomous items (Samejima's graded response model). Also examined were Levine's nonparametric maximum likelihood formula scoring models for dichotomous and polytomous data, which were previously found to provide good fits to several cognitive ability tests (Drasgow, Levine, Tsien, Williams, & Mead, 1995). The two- and three-parameter logistic models fit some scales reasonably well but not others; the graded r...

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