Results 71 to 80 of about 1,237 (160)

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

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

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

Linking Error Estimation in Stocking–Lord Linking

Foundations
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
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

Extensions to Mean–Geometric Mean Linking

Mathematics
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
doaj   +1 more source

Integration of item response theory in the development of PhET-based graphing lines worksheets for optimizing student algebra competence

Jurnal Elemen
This study develops and evaluates a graphing line worksheet based on PhET Interactive Simulation integrated with Item Response Theory (IRT) methods to enhance student algebra competence. Involving 120 students, the worksheet comprises 12 items measuring
Giyanti, Indri Lestari, Rina Oktaviyanthi   +2 more
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

Development Of A Medication-Problem Coping Scale (Mpcs) And Items Calibration Using One-Parameter Logistic (1pl) And Two-Parameter Logistic (2pl) Models [PDF]

Value in Health, 2014
openaire   +2 more sources

Developmental Change in Associations Between Mental Health and Academic Ability Across Grades in Adolescence: Evidence from IRT-Based Vertical Scaling. [PDF]

Behav Sci (Basel)
Ma Y, Duan Y, Qi Y, Hu Y, Liu T.
europepmc   +1 more source