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Logistic Discriminant Function Analysis for DIF Identification of Polytomously Scored Items
Author(s) -
Miller Timothy R.,
Spray Judith A.
Publication year - 1993
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.1745-3984.1993.tb01069.x
Subject(s) - discriminant function analysis , differential item functioning , logistic regression , linear discriminant analysis , polytomous rasch model , identification (biology) , statistics , psychology , test (biology) , mathematics , discriminant , item response theory , psychometrics , artificial intelligence , computer science , paleontology , botany , biology
The purpose of this article is to present logistic discriminant function analysis as a means of differential item functioning (DIF) identification of items that are polytomously scored. The procedure is presented with examples of a DIF analysis using items from a 27‐item mathematics test which includes six open‐ended response items scored polytomously. The results show that the logistic discriminant function procedure is ideally suited for DIF identification on nondichotomously scored test items. It is simpler and more practical than polytomous extensions of the logistic regression DIF procedure and appears to fee more powerful than a generalized Mantel‐Haenszelprocedure.