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ERIC Number: ED532814
Record Type: Non-Journal
Publication Date: 2009
Pages: 103
Abstractor: As Provided
Reference Count: N/A
ISBN: ISBN-978-1-1244-3909-9
ISSN: N/A
The Mantel-Haenszel Method for Detecting Differential Item Functioning in Dichotomously Scored Items: A Multilevel Approach
MacInnes, Jann Marie Wise
ProQuest LLC, Ph.D. Dissertation, University of Florida
Multilevel data often exist in educational studies. The focus of this study is to consider differential item functioning (DIF) for dichotomous items from a multilevel perspective. One of the most often used methods for detecting DIF in dichotomously scored items is the Mantel-Haenszel log odds-ratio. However, the Mantel-Haenszel reduces the analyses to one level, thus ignoring the natural nesting that often occurs in testing situations. In this dissertation, a multilevel statistical model for detecting DIF in dichotomously scored items that is equivalent to the traditional Mantel-Haenszel method for detecting DIF in dichotomously scored items will be presented. This model is called the Multilevel Mantel-Haenszel model. The reformulated Multilevel Mantel-Haenszel method is a special case of an item response theory model (IRT) embedded in a logistic regression model with discrete ability levels. Results for the Multilevel Mantel-Haenszel model were analyzed using the hierarchical generalized linear framework (HGLM) of the HLM multilevel software program. Parameter recovery of the Mantel-Haenszel log odds-ratio by the Multilevel Mantel-Haenszel model is first demonstrated by Illustrative examples. A simulation study provides further support that (1) the Multilevel Mantel-Haenszel can fully recover the log odds-ratio of the traditional Mantel-Haenszel , (2) the Multilevel Mantel-Haenszel is a method capable of properly detecting the presence of DIF in dichotomously scored items, and, (3) the Multilevel Mantel-Haenszel performance compares favorably to the performance of the traditional Mantel-Haenszel. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A