This study proposed a multilevel logistic regression model to evaluate variation of differential item functioning (DIF). The model accounts for the three level nested structure of the data and combines results of logistic regression analyses to investigate the variation of DIF across level-3 units. A simulation study is presented to assess the adequacy of the proposed model. The parameters of the proposed model were estimated by using a Bayesian approach implemented by the WinBUGS 1.4
This article proposes a novel approach to detect differential item functioning (DIF) among dichotomo...
AbstractA variety of statistical methods is available for detecting Differential Item Functioning (D...
In this article, the authors developed a common strategy for identifying differential item functioni...
Although differential item functioning (DIF) theory traditionally focuses on the behavior of individ...
Over the past 25 years a range of parametric and nonparametric methods have been developed for analy...
The conventional two-group differential item functioning (DIF) analysis is extended to an analysis o...
We present an extension of the logistic regression procedure to identify dichotomous differential it...
We present an extension of the logistic regression procedure to identify dichotomous differential it...
Differential item functioning (DIF) may be defined as an item that displays different statistical pr...
A computer simulation study was conducted to determine the feasibility of using logistic regression ...
© 2014 AERA This article proposes a novel approach to detect differential item functioning (DIF) amo...
Loglinear latent class models are used to detect differential item functioning (DIF). These models a...
In this article, an integrated Bayesian model for differential item functioning (DIF) analysis is pr...
This study introduces an approach for modeling multidimensional response data with construct-relevan...
In this study, performance of differential item functioning (DIF) methods was compared under 36 diff...
This article proposes a novel approach to detect differential item functioning (DIF) among dichotomo...
AbstractA variety of statistical methods is available for detecting Differential Item Functioning (D...
In this article, the authors developed a common strategy for identifying differential item functioni...
Although differential item functioning (DIF) theory traditionally focuses on the behavior of individ...
Over the past 25 years a range of parametric and nonparametric methods have been developed for analy...
The conventional two-group differential item functioning (DIF) analysis is extended to an analysis o...
We present an extension of the logistic regression procedure to identify dichotomous differential it...
We present an extension of the logistic regression procedure to identify dichotomous differential it...
Differential item functioning (DIF) may be defined as an item that displays different statistical pr...
A computer simulation study was conducted to determine the feasibility of using logistic regression ...
© 2014 AERA This article proposes a novel approach to detect differential item functioning (DIF) amo...
Loglinear latent class models are used to detect differential item functioning (DIF). These models a...
In this article, an integrated Bayesian model for differential item functioning (DIF) analysis is pr...
This study introduces an approach for modeling multidimensional response data with construct-relevan...
In this study, performance of differential item functioning (DIF) methods was compared under 36 diff...
This article proposes a novel approach to detect differential item functioning (DIF) among dichotomo...
AbstractA variety of statistical methods is available for detecting Differential Item Functioning (D...
In this article, the authors developed a common strategy for identifying differential item functioni...