A Didactic Presentation of Snijders’s lz* Index of Person Fit With Emphasis on Response Model Selection and Ability Estimation

Author:

Magis David1,Raîche Gilles2,Béland Sébastien2

Affiliation:

1. Department of Mathematics, University of Liège, Belgium

2. Département d’éducation et pédagogie, Université du Québec à Montréal, Canada

Abstract

This paper focuses on two likelihood-based indices of person fit, the index lz and the Snijders’s modified index lz*. The first one is commonly used in practical assessment of person fit, although its asymptotic standard normal distribution is not valid when true abilities are replaced by sample ability estimates. The lz* index is a generalization of lz, which corrects for this sampling variability. Surprisingly, it is not yet popular in the psychometric and educational assessment community. Moreover, there is some ambiguity about which type of item response model and ability estimation method can be used to compute the lz* index. The purpose of this article is to present the index lz* in a simple and didactic approach. Starting from the relationship between lz and lz*, we develop the framework according to the type of logistic item response theory (IRT) model and the likelihood-based estimators of ability. The practical calculation of lz* is illustrated by analyzing a real data set about language skill assessment.

Publisher

American Educational Research Association (AERA)

Subject

Social Sciences (miscellaneous),Education

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