Differential Item Functioning Detection Using the Multiple Indicators, Multiple Causes Method with a Pure Short Anchor

Author:

Shih Ching-Lin1,Wang Wen-Chung2

Affiliation:

1. National Taichung University, Taichung, Taiwan

2. Hong Kong Institute of Education,

Abstract

The multiple indicators, multiple causes (MIMIC) method with a pure short anchor was proposed to detect differential item functioning (DIF). A simulation study showed that the MIMIC method with an anchor of 1, 2, 4, or 10 DIF-free items yielded a well-controlled Type I error rate even when such tests contained as many as 40% DIF items. In general, a longer anchor increased the power of DIF detection, and a 4-item anchor was long enough to yield a high power of DIF detection. An iterative MIMIC procedure was proposed to locate a set of DIF-free items to function as a pure anchor so that the MIMIC method could proceed properly. In another simulation study, it was found that this iterative procedure yielded a perfect (or nearly perfect) rate of accuracy in locating a set of up to 4 DIF-free items.

Publisher

SAGE Publications

Subject

Psychology (miscellaneous),Social Sciences (miscellaneous)

Reference47 articles.

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3. Camilli, G. (1993). The case against item bias techniques based on internal criteria: Do item bias procedures obscure test fairness issues? The use of differential item functioning statistics: A discussion of current practice and future implications. In P. W. Holland & H. Wainer (Eds.), Differential item functioning (pp. 397-413). Hillsdale, NJ : Lawrence Erlbaum.

4. An Iterative Procedure for Linking Metrics and Assessing Item Bias in Item Response Theory

5. The Effects of Purification of Matching Criterion on the Identification of DIF Using the Mantel-Haenszel Procedure

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