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An Investigation of Chi-Square and Entropy Based Methods of Item-Fit Using Item Level Contamination in Item Response Theory

Journal of Modern Applied Statistical Methods (2020) 18(2)
DOI: 10.22237/jmasm/1604190480
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Abstract

New variants of entropy as measures of item-fit in item response theory are investigated. Monte Carlo simulation(s) examine aberrant conditions of item-level misfit to evaluate relative (compare EMRj, X2, G2, S-X2, and PV-Q1 and absolute (Type I error and empirical power) performance. EMRj has utility in discovering misfit.

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APA

Dardick, W. R., & Weiss, B. A. (2020). An Investigation of Chi-Square and Entropy Based Methods of Item-Fit Using Item Level Contamination in Item Response Theory. Journal of Modern Applied Statistical Methods, 18(2). https://doi.org/10.22237/jmasm/1604190480

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