Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model
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DOI: 10.3102/1076998611432173
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- Frank Rijmen & Minjeong Jeon & Matthias von Davier & Sophia Rabe-Hesketh, 2014. "A Third-Order Item Response Theory Model for Modeling the Effects of Domains and Subdomains in Large-Scale Educational Assessment Surveys," Journal of Educational and Behavioral Statistics, , vol. 39(4), pages 235-256, August.
- Li Cai, 2015. "Lord–Wingersky Algorithm Version 2.0 for Hierarchical Item Factor Models with Applications in Test Scoring, Scale Alignment, and Model Fit Testing," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 535-559, June.
- Minjeong Jeon & Sophia Rabe-Hesketh, 2016. "An autoregressive growth model for longitudinal item analysis," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 830-850, September.
- Minjeong Jeon & Paul Boeck & Jevan Luo & Xiangrui Li & Zhong-Lin Lu, 2021. "Modeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 239-271, March.
- Ward, Jeffrey T. & Ray, James V. & Fox, Kathleen A., 2018. "Exploring differences in self-control across sex, race, age, education, and language: Considering a bifactor MIMIC model," Journal of Criminal Justice, Elsevier, vol. 56(C), pages 29-42.
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Keywords
multiple-group bifactor model; conditional independence; differential item functioning; bifactor model; testlets; graphical model; EM algorithm;All these keywords.
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