Mantel-Haenszel methods comprise a highly flexible methodology for assessing the degree of association between two categorical variables, whether they are nominal or ordinal, while controlling for other variables. The versatility of Mantel-Haenszel analytical approaches has made them very popular in the assessment of the differential functioning of both dichotomous and polytomous items. Up to now, researchers have limited the use of Mantel-Haenszel statistics to analyzing contingency tables of dimensions 2 × 2 (by means of the Mantel-Haenszel chi-square statistic) and of dimensions of 2 × C (by means of either the generalized Mantel-Haenszel test or Mantel's test). The main objective of this article is to illustrate a unified framework for the analysis of differential item functioning using the Mantel-Haenszel methods. This is done by means of the generalized Mantel-Haenszel statistic for the analysis of the general case of Q contingency tables with dimensions R × C. Moreover, with the new formulation in consideration, this article reviews the most recent research on differential item functioning and suggests new applications and research lines in relation to the statistics proposed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.