Results 71 to 80 of about 1,270 (156)

Comparing Different Specifications of Mean–Geometric Mean Linking

Foundations
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
doaj   +1 more source

Pre-service teachers’ situation-specific skills regarding classroom management in physical education: validation of a video-based test instrument

Frontiers in Education
IntroductionSituation-specific skills, comprising Perception, Interpretation, and Decision-making (PID), are considered a central facet of teachers’ professional competence, linking professional knowledge to observable performance.
Eric Jeisy, Clemens Berthold, Matthias Baumgartner   +2 more
doaj   +1 more source

Bias-Reduced Haebara and Stocking–Lord Linking

J
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
doaj   +1 more source

Linking Error Estimation in Haberman Linking

AppliedMath
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
doaj   +1 more source

Bias Reduction in Robust Mean–Geometric Mean Linking via SIMEX

Algorithms
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
doaj   +1 more source

Modified Bayesian Information Criterion for Item Response Models in Planned Missingness Test Designs

Analytics
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
doaj   +1 more source

Öğrencilerin Alıcı Sözcük Dağarcığının Sıklık Dilimlerine Göre Belirlenmesine Yönelik Ölçme Aracı Geliştirme

Ana Dili Eğitimi Dergisi
Bu çalışmada anadili Türkçe olan öğrencilerin alıcı sözcük dağarcığını ölçmek amacıyla geliştirilen Sıklık Odaklı Alıcı Sözcük Dağarcığı Ölçme Aracı (SASÖ) tanıtılmış ve aracın Klasik Test Kuramı (KTK), Madde Tepki Kuramı (MTK) ve Genellenebilirlik ...
Hakan Ülper
doaj   +1 more source

Assessing Standard Error Estimation Approaches for Robust Mean-Geometric Mean Linking

AppliedMath
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
doaj   +1 more source

Detecting DIF in 2PL Multistage Assessments Advanced Senior Scientist and Research Group Leader Senior Researcher in Statistical Modeling Research Associate Phd Student Statistical Consulant

The detection of differential item functioning is crucial for the psychometric evaluation of multistage tests. This paper discusses five approaches presented in the literature: Logistic regression, SIBTEST, analytical score-based tests, Bootstrap score-based tests and permutation score-based tests.
Rudolf Debelak, Sebastian Appelbaum, Dries Debeer, Martin J. Tomasik   +3 more
openaire   +1 more source

Cross-cultural adaptation and validation of a Moroccan Arabic version of the Hooked on Nicotine Checklist. [PDF]

Front Public Health
Moutawakkil SG, El-Ammari A, El Gnaoui S, El Rhazi K, Zarrouq B.   +4 more
europepmc   +1 more source