Results 71 to 80 of about 1,259 (173)
In educational large-scale assessment studies, uniform differential item functioning (DIF) across countries often challenges the application of a common item response model, such as the two-parameter logistic (2PL) model, to all participating countries ...
Alexander Robitzsch
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plink: An R Package for Linking Mixed-Format Tests Using IRT-Based Methods
The R package plink has been developed to facilitate the linking of mixed-format tests for multiple groups under a common item design using unidimensional and multidimensional IRT-based methods.
Jonathan P. Weeks
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Comparing Different Specifications of Mean–Geometric Mean Linking
Mean–geometric mean (MGM) linking compares group differences on a latent variable θ within the two-parameter logistic (2PL) item response theory model.
Alexander Robitzsch
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Bias-Reduced Haebara and Stocking–Lord Linking
Haebara and Stocking–Lord linking methods are frequently used to compare the distributions of two groups. Previous research has demonstrated that Haebara and Stocking–Lord linking can produce bias in estimated standard deviations and, to a smaller extent,
Alexander Robitzsch
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Bias Reduction in Robust Mean–Geometric Mean Linking via SIMEX
Robust mean–geometric mean (MGM) linking is a method for comparing the performance of two groups on a test involving dichotomous items and is particularly suited to settings with fixed and sparse differential item functioning (DIF).
Alexander Robitzsch
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Linking Error Estimation in Haberman Linking
Haberman linking is a widely used method for comparing groups using the two-parameter logistic item response model. However, the traditional Haberman linking approach relies on joint item parameter estimation, which prevents the application of standard M-
Alexander Robitzsch
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Modified Bayesian Information Criterion for Item Response Models in Planned Missingness Test Designs
The Bayesian information criterion (BIC) is a widely used statistical tool originally derived for fully observed data. The BIC formula includes the sample size and the number of estimated parameters in the penalty term.
Alexander Robitzsch
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Linking Error Estimation in Stocking–Lord Linking
Stocking–Lord (SL) linking is a widely used linking method based on item response theory (IRT). This article examines the variability in SL linking parameter estimates within the two-parameter logistic (2PL) model.
Alexander Robitzsch
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Extensions to Mean–Geometric Mean Linking
Mean-geometric mean (MGM) linking is a widely used method for linking two groups within the two-parameter logistic (2PL) item response model. However, the presence of differential item functioning (DIF) can lead to biased parameter estimates using the ...
Alexander Robitzsch
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Assessing Standard Error Estimation Approaches for Robust Mean-Geometric Mean Linking
Robust mean-geometric mean (MGM) linking methods enable reliable group comparisons in item response theory models under fixed and sparse differential item functioning.
Alexander Robitzsch
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