MHDIF: A Computer Program for Detecting Uniform and Nonuniform Differential Functioning With the Mantel-Haenszel Procedure

Fidalgo, Ángel M.

doi:10.1177/014662169401800313

Cited by 16 publications

(19 citation statements)

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“…Each test was analyzed using the MHDIF program (Fidalgo, 1994) for the standard MH and modified MH procedures and with the SPSS program (Version 10) for LR analysis. In both cases, the total score was used as the matching criterion.…”

Section: Methodsmentioning

confidence: 99%

Differential Item Functioning Detection and Effect Size: A Comparison between Logistic Regression and Mantel-Haenszel Procedures

Hidalgo¹,

López‐Pina

2004

Educational and Psychological Measurement

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This article compares several procedures in their efficacy for detecting differential item functioning (DIF): logistic regression analysis, the Mantel-Haenszel (MH) procedure, and the modified Mantel-Haenszel procedure by Mazor, Clauser, and Hambleton. It also compares the effect size measures that these procedures provide. In this study, different conditions of item parameters (difficulty and discrimination) and DIF magnitude were manipulated. Furthermore, both uniform and nonuniform DIF conditions were simulated. Results suggest that logistic regression analysis generally detected more items with DIF than the standard MH procedure and the modified MH procedure for symmetrical nonuniform DIF. The DIF effect size measures based on logistic regression, however, appeared to be insensitive to the specified DIF conditions.

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Section: Methodsmentioning

confidence: 99%

Differential Item Functioning Detection and Effect Size: A Comparison between Logistic Regression and Mantel-Haenszel Procedures

Hidalgo¹,

López‐Pina

2004

Educational and Psychological Measurement

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“…Embora os cálculos necessários para obter a estatística sejam muito simples, quem quiser poupar-se dos incômodos pode solicitar, ao primeiro autor do artigo, uma cópia do programa MHDIF (Fidalgo, 1994).…”

Section: Grupounclassified

“…Além de ser uma das melhores estatísticas para detectar o DIF uniforme (um grupo tem vantagem sobre outro ao largo de todo o nível de habilidade), vários estudos de simulação mostraram que eles também podem detectar o DIF não-uniforme (um grupo têm vantagem em alguns níveis de habilidade, e desvantagem em outros -Fidalgo, Mellenbergh, & Muñiz, 1998;Hidalgo & López-Pina, 2004;Mazor, Clauser, & Hambleton, 1994;Rogers & Swaminathan, 1993). Deve-se notar, contudo, que no caso de itens dicotômicos a detecção do DIF não uniforme requer a modificação do procedimento MH proposta por Mazor et al, (1994), e que implementa o programa MHDIF (Fidalgo, 1994). Aplicando o referido programa Hidalgo e López-Pina (2004) encontraram taxas de detecção do DIF não-uniforme semelhante as obtidas por meio da regressão logística.…”

Section: Possibilidades E Limites Dos Métodos Mhunclassified

“…Além do acima exposto, o comportamento destas estatísticas está bem estabelecido em uma ampla variedade de situações, pela grande quantidade de estudos teóricos e de simulação que tem sido feitos; e contam com software especialmente planejado que facilita sua aplicação pelos pesquisadores aplicados (Fidalgo, 1994(Fidalgo, , 2011Penfield, 2005). Assim, pode-se concluir que, embora existam muitas outras alternativas para detectar o DIF, especialmente na TRI (Andriola, 2001;Fidalgo, 1996Fidalgo, , 2005b, no momento, os métodos MH seguem sendo o padrão-ouro para avaliar o DIF.…”

Section: Conclusãounclassified

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Uso dos métodos Mantel-Haenszel para a detecção do funcionamento diferencial dos itens e software relacionado

Fidalgo¹,

Scalon²

2012

Psicol. Reflex. Crit.

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ResumoAs estatísticas englobadas sob a denominação métodos Mantel-Haenszel (MH), por suas simplicidades, baixo custo computacional e bons resultados, são os métodos mais empregadas para detectar o funcionamento diferencial dos itens (DIF). Os métodos MH podem ser usados para detectar o DIF tanto em itens dicotômicos como em itens politômicos, permitindo comparar dois ou mais grupos simultaneamente, e aplicam-se tanto no âmbito da Teoria Clássica dos Testes (TCT) como da Teoria da Resposta ao Item (TRI). Este artigo fornece uma visão completa e integrada dos métodos MH e apresenta um programa que permite aplicar essas estatísticas no estudo do DIF. O programa é gratuito e está disponível em Espanhol, Inglês e Português. Palavras-chave: Funcionamento diferencial dos itens, DIF software, GMHDIF, métodos de MantelHaenszel, estatísticas generalizadas de Mantel-Haenszel. AbstractStatistics comprised under Mantel-Haenszel (MH) methods designation constitute one of the most popular and low cost differential item functioning (DIF) detection methods. Mantel-Haenszel methods permit DIF assessment of dichotomous and polytomous items in multiple groups simultaneously, and they can be applied both under Classical Test Theory and Item Response Theory. This paper provides a framework for integrating the different MH statistics used in DIF research, and describes the software that has been developed to provide an easy-to-use program for conducting DIF analyses using the statistics. The program is free of charge and it is available in the following languages: Spanish, English and Portuguese.

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“…We established the results for χ 2 MH on the basis of the formula that applies the correction by continuity. This form of calculation is implemented in the most common DIF analysis programs (Fidalgo, 1994;Penfield, 2005). The most widely used statistical programs, such as SAS, calculate χ 2 MH without using this correction.…”

Section: Notesmentioning

confidence: 99%

Empirical Bayes Versus Standard Mantel-Haenszel Statistics for Detecting Differential Item Functioning Under Small Sample Conditions

Fidalgo

Hashimoto²,

Bartram³

et al. 2007

The Journal of Experimental Education

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In this study, the authors assess several strategies created on the basis of the Mantel-Haenszel (MH) procedure for conducting differential item functioning (DIF) analysis with small samples. One of the analytical strategies is a loss function (LF) that uses empirical Bayes Mantel-Haenszel estimators, whereas the other strategies use the classical MH statistics (the MH chisquare statistic using high levels of significance [0.20] or empirical criteria on the basis of the magnitude of the MH-delta estimator). The authors conducted a series of computer simulations in which they manipulated different types of tests, sample sizes, and ability distributions. The results show that the loss function does not offer advantages, in terms of power and Type I error rate, over other analytical strategies that use the classical MH statistics.

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MHDIF: A Computer Program for Detecting Uniform and Nonuniform Differential Functioning With the Mantel-Haenszel Procedure

Cited by 16 publications

References 1 publication

Differential Item Functioning Detection and Effect Size: A Comparison between Logistic Regression and Mantel-Haenszel Procedures

Differential Item Functioning Detection and Effect Size: A Comparison between Logistic Regression and Mantel-Haenszel Procedures

Uso dos métodos Mantel-Haenszel para a detecção do funcionamento diferencial dos itens e software relacionado

Empirical Bayes Versus Standard Mantel-Haenszel Statistics for Detecting Differential Item Functioning Under Small Sample Conditions

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