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• W2100085382 abstract "In psychiatric assessment, Item Response Theory (IRT) is a popular tool to formalize the relation between the severity of a disorder and the associated responses to questionnaire items. Practitioners of IRT sometimes make the assumption of normally distributed severities within a population; while convenient, this assumption is often violated when measuring psychiatric disorders. Specifically, there may be a sizable group of respondents whose answers place them at an extreme of the latent trait spectrum. In this article, a zero- and K-inflated mixture model is developed to account for the presence of such respondents. The model is fitted using an expectation–maximization (E-M) algorithm to estimate the percentage of the population at each end of the continuum, concurrently analyzing the remaining ‘graded component’ via IRT. A method to perform factor analysis for only the graded component is introduced. In assessments of oppositional defiant disorder and conduct disorder, the zero- and K-inflated model exhibited better fit than the standard IRT model. Copyright © 2011 John Wiley & Sons, Ltd." @default.
• W2100085382 created "2016-06-24" @default.
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• W2100085382 date "2011-03-01" @default.
• W2100085382 modified "2023-09-26" @default.
• W2100085382 title "A zero- and <i>K</i> -inflated mixture model for health questionnaire data" @default.
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• W2100085382 doi "https://doi.org/10.1002/sim.4217" @default.
• W2100085382 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3086029" @default.
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• W2100085382 hasPublicationYear "2011" @default.
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