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

Authors

William R. Dardick, The George Washington UniversityFollow
Brandi A. Weiss, The George Washington UniversityFollow

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 EMR_j, X², G², S-X², and PV-Q₁) and absolute (Type I error and empirical power) performance. EMR_j has utility in discovering misfit.

DOI

10.22237/jmasm/1604190480

Recommended Citation

Dardick, W. R., & Weiss, B. A. (2019). 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), eP3208. doi: 10.22237/jmasm/1604190480