Person Fit in Order-Restricted Latent Class Models

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Emons, Wilco H.M. and Glas, Cees A.W. and Meijer, Rob R. and Sijtsma, Klaas (2003) Person Fit in Order-Restricted Latent Class Models. Applied Psychological Measurement, 27 (6). pp. 459-478. ISSN 0146-6216

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Abstract:Person-fit analysis revolves around fitting an item response theory (IRT) model to respondents’ vectors of item scores on a test and drawing statistical inferences about fit or misfit of these vectors. Four person-fit measures were studied in order-restricted latent class models (OR-LCMs). To decide whether the OR-LCM fits an item score vector, a Bayesian framework was adopted and posterior predictive checks were used. First, simulated Type I error rates and detection rates were investigated for the four person-fit measures under varying test and item characteristics. Second, the suitability of the OR-LCM methodology in a nonparametric IRT context was investigated. The result was Type I error rates close to the nominal Type I error rates and detection rates close to the detection rates found in OR-LCMs. This means that the OR-LCM methodology is a suitable alternative for assessing person fit in nonparametric IRT models.
Item Type:Article
Copyright:© 2003 Sage
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Behavioural Sciences (BS)
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Link to this item:http://purl.utwente.nl/publications/60150
Official URL:http://dx.doi.org/10.1177/0146621603259270
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