A Polytomous Nonlinear Mixed Model for Item Analysis
Seon-Hi Shin
Broschiertes Buch

A Polytomous Nonlinear Mixed Model for Item Analysis

Item Calibration Using SAS PROC NLMIXED and PARSCALE

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The study presented the formulation of an IRT model for polytomously scored Likert-type data under the framework of the nonlinear mixed model. The formulated polytomous nonlinear mixed model (PNLMM) was demonstrated to be equivalent to Muraki s rating scale model (1990). Due to the flexibility of the framework, the PNLMM was easily extended into a model for differential item functioning analysis and a regression-type model with a person-level covariate. Using simulations, the accuracy of SAS PROC NLMIXED in estimating the latent trait and the item parameters for the PNLMM was examined through ...