Normalization rules for item response models: Simulation results

DOI10.1080/03610918.2017.1371746OpenAlexW2754635929MaRDI QIDQ5085089

James McIntosh

Publication date: 29 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2017.1371746

zbMATH Keywords

differential item functioningitem response modelsnormalization rulesRasch and 2PL models

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Statistical modeling of the national assessment of educational progress.
• A model-based standardization approach that separates true bias/DIF from group ability differences and detects test bias/DTF as well as item bias/DIF
• Analyses of model fit and robustness. A new look at the PISA scaling model underlying ranking of countries according to reading literacy
• A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
• Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis
• 15 Item Response Theory in a General Framework

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