Sample-size restrictions limit the contingency table approaches based on asymptotic dis-tributions, such as the Mantel-Haenszel (MH) procedure, for detecting differential item functioning (DIF) in many practical applications. Within this framework, the present study investigated the power and Type I error performance of empirical and inferential criteria for DIF detection in small samples. Sample sizes (50/50, 100/50, 200/50, and 100/100 for the reference and focal groups, respectively), ability distributions (equal and unequal), and amount of DIF (moderate and high) were manipulated. The results show the advantages of employing the MH chi-square statistic using high levels of significance (α =.20) as opposed to the empirical criteria (cuto...
The standard Mantel-Haenszel (MH) procedure, a simple modification of the MH procedure (reanalyzing ...
The Mantel-Haenszel (MH) procedure is commonly used to detect items that function differentially for...
Differential item functioning (DIF) analyses are used to analyze structurally missing data (SMD) due...
The Mantel-Haenszel (MH) procedure has emerged as one of the methods of choice for identification of...
Two nonparametric procedures for detecting differ-ential item functioning (DIF)—the Mantel...
Two nonparametric procedures for detecting differential item functioning (DIF)-the Mantel-Haenszel ...
Total test scores of examinees on any given standardized test are used to provide reliable and objec...
This study investigated the effectiveness of the Mantel-Haenszel (MH) statistic in detecting differ...
The frequent use of standardized tests for admission, advancement, and accreditation has increased p...
In recent years, public attention has become focused on the issue of test and item bias in standardi...
The Mantel-Haenszel (MH) procedure has become one of the most popular procedures for detecting diffe...
Numerous statistical methods have been proposed for detecting differential item functioning (DIF). A...
Test-item bias has become an increasingly challenging investigation in statistics and education. A p...
The development and evaluation of methods for detecting potentially biased items or differentially f...
Mantel-Haenszel (MH) methods constitute one of the most popular non-parametric differential item fun...
The standard Mantel-Haenszel (MH) procedure, a simple modification of the MH procedure (reanalyzing ...
The Mantel-Haenszel (MH) procedure is commonly used to detect items that function differentially for...
Differential item functioning (DIF) analyses are used to analyze structurally missing data (SMD) due...
The Mantel-Haenszel (MH) procedure has emerged as one of the methods of choice for identification of...
Two nonparametric procedures for detecting differ-ential item functioning (DIF)—the Mantel...
Two nonparametric procedures for detecting differential item functioning (DIF)-the Mantel-Haenszel ...
Total test scores of examinees on any given standardized test are used to provide reliable and objec...
This study investigated the effectiveness of the Mantel-Haenszel (MH) statistic in detecting differ...
The frequent use of standardized tests for admission, advancement, and accreditation has increased p...
In recent years, public attention has become focused on the issue of test and item bias in standardi...
The Mantel-Haenszel (MH) procedure has become one of the most popular procedures for detecting diffe...
Numerous statistical methods have been proposed for detecting differential item functioning (DIF). A...
Test-item bias has become an increasingly challenging investigation in statistics and education. A p...
The development and evaluation of methods for detecting potentially biased items or differentially f...
Mantel-Haenszel (MH) methods constitute one of the most popular non-parametric differential item fun...
The standard Mantel-Haenszel (MH) procedure, a simple modification of the MH procedure (reanalyzing ...
The Mantel-Haenszel (MH) procedure is commonly used to detect items that function differentially for...
Differential item functioning (DIF) analyses are used to analyze structurally missing data (SMD) due...