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Using Logistic Regression and the Mantel‐Haenszel With Multiple Ability Estimates to Detect Differential Item Functioning
Author(s) -
Mazor Kathleen M.,
Kanjee Anil,
Clauser Brian E.
Publication year - 1995
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1995.tb00459.x
Subject(s) - differential item functioning , logistic regression , statistics , regression analysis , regression , matching (statistics) , item response theory , econometrics , psychology , differential (mechanical device) , mathematics , psychometrics , engineering , aerospace engineering
Logistic regression has recently been advanced as a viable procedure for detecting differential item functioning (DIF). One of the advantages of this procedure is the considerable flexibility it offers in the specification of the regression equation. This article describes incorporating two ability estimates into a single regression analysis, with the result that substantially fewer items exhibit DIF. A comparable analysis is conducted using the Mantel‐Haenszel with similar results. It is argued that by simultaneously conditioning on two relevant ability estimates, more accurate matching of examinees in the reference and focal groups is obtained, and thus multidimensional item impact is not mistakenly identified as DIF.