A Bayesian Approach for Fitting a Random Effect Differential Item Functioning Across Group Units

Saengla Chaimongkol; Fred W. Huffer; Akihito Kamata

A Bayesian Approach for Fitting a Random Effect Differential Item Functioning Across Group Units

Authors

Saengla Chaimongkol Department of Mathematics and Statistics, Thammasat University, Phathum Thani, 12121, Thailand.
Fred W. Huffer Department of Statistics, College of Arts & Sciences, Florida State University, Florida, U.S.A.
Akihito Kamata Department of Educational Psychology & Learning Systems, College of Education, Florida State University, Florida, U.S.A.

Keywords:

Bayesian, level3-units, multilevel logistic regression, random effect DIF, WinBUGS

Abstract

This study proposed a multilevel logistic regression model to evaluate variation of differential item functioning (DIF). The model accounts for the three level nested structure of the data and combines results of logistic regression analyses to investigate the variation of DIF across level-3 units. A simulation study is presented to assess the adequacy of the proposed model. The parameters of the proposed model were estimated by using a Bayesian approach implemented by the WinBUGS 1.4.

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How to Cite

Chaimongkol, S., Huffer, F. W., & Kamata, A. (2015). A Bayesian Approach for Fitting a Random Effect Differential Item Functioning Across Group Units. Thailand Statistician, 4, 27–41. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/34353