DOIAbstract
loglinear models, Rasch model, item bias, differential item performance, latentclass models, IRT,
loglinear models, Rasch model, item bias, differential item performance, latentclass models, IRT,
Building on the Kelley and Gulliksen versions of classical test theory, this article shows that a lo...
The aim of this study was to examine the precision of item parameter estimation in different sample ...
In this paper it is shown that differential item functioning can be evaluated using the Lagrange mul...
A method is proposed for the detection of item bias with respect to observed or unobserved subgroups...
A method is proposed for the detection of item bias with respect to observed or unobserved subgroups...
The use of loglinear latent class models to detect item bias was studied. Purposes of the study were...
This article examines the consequences of employing IRT item bias detection procedures with multidi...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection wa...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection was...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection was...
This article examines the consequences of employ-ing IRT item bias detection procedures with multidi...
For analyzing item response data, item response theory (IRT) models treat the discrete responses to ...
Loglinear latent class models are used to detect differential item functioning (DIF). These models a...
A loglinear IRT model is proposed that relates polytomously scored item responses to a multidimensio...
M-fluctuations tests are a recently proposed method for detecting differential item functioning in R...
Building on the Kelley and Gulliksen versions of classical test theory, this article shows that a lo...
The aim of this study was to examine the precision of item parameter estimation in different sample ...
In this paper it is shown that differential item functioning can be evaluated using the Lagrange mul...
A method is proposed for the detection of item bias with respect to observed or unobserved subgroups...
A method is proposed for the detection of item bias with respect to observed or unobserved subgroups...
The use of loglinear latent class models to detect item bias was studied. Purposes of the study were...
This article examines the consequences of employing IRT item bias detection procedures with multidi...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection wa...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection was...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection was...
This article examines the consequences of employ-ing IRT item bias detection procedures with multidi...
For analyzing item response data, item response theory (IRT) models treat the discrete responses to ...
Loglinear latent class models are used to detect differential item functioning (DIF). These models a...
A loglinear IRT model is proposed that relates polytomously scored item responses to a multidimensio...
M-fluctuations tests are a recently proposed method for detecting differential item functioning in R...
Building on the Kelley and Gulliksen versions of classical test theory, this article shows that a lo...
The aim of this study was to examine the precision of item parameter estimation in different sample ...
In this paper it is shown that differential item functioning can be evaluated using the Lagrange mul...
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