Applying the Mantel-Haenszel Procedure to Complex Samples of Items

Autor: John R. Donoghue, Nancy L. Allen
Rok vydání: 1996
Předmět:
Zdroj: Journal of Educational Measurement. 33:231-251
ISSN: 1745-3984
0022-0655
DOI: 10.1111/j.1745-3984.1996.tb00491.x
Popis: This Monte Carlo study examined the effect of complex sampling of items on the measurement of differential item functioning (DIF) using the Mantel-Haenszel procedure. Data were generated using a 3-parameter logistic item response theory model according to the balanced incomplete block (BIB) design used in the National Assessment of Educational Progress (NAEP). The length of each block of items and the number of DIF items in the matching variable were varied, as was the difficulty, discrimination, and presence of DIF in the studied item. Block, booklet, pooled booklet, and extra-information analyses were compared to a complete data analysis using the transformed log-odds on the delta scale. The pooled booklet approach is recommended for use when items are selected for examinees according to a BIB design. This study has implications for DIF analyses of other complex samples of items, such as computer administered testing or another complex assessment design. One important issue in educational measurement is to identify items that function differently for subgroups. Such items are said to have differential item functioning (DIF). DIF studies compare the relative performance of the group of interest (the focal group) to that of a comparison or reference group. The Mantel-Haenszel (MH) procedure (Holland & Thayer, 1988; Mantel & Haenszel, 1959) matches the groups on some measure of performance. In usual DIF applications of MH, this matching variable is the total score on the test. For each of the K levels of the matching variable, MH forms a 2 x 2 table, which is shown in Table 1. Tk is the total number of examinees at level k, nRk and nFk are the numbers of reference and focal group members, mlk is the number of examinees who answered the studied item correctly, and mOk is the number who missed the item.
Databáze: OpenAIRE
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