Detecting latent subpopulations in international large-scale assessments by fitting MixIRT models using NUTS

Abstract The focus of this study is to use the mixture item response theory (MixIRT) model while implementing the no-U-turn sampler as a technique for investigating the presence of latent classes (i.e., subpopulations) among eighth-grade students who were administered TIMSS 2019 mathematics subtest...

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Bibliographic Details

Published in:	Large-scale Assessments in Education
Main Authors:	Rehab AlHakmani, Yanyan Sheng
Format:	Article
Language:	English
Published:	SpringerOpen 2024-11-01
Subjects:	Mixture item response theory models Latent classes No-U-turn sampler Bayesian fit indices TIMSS
Online Access:	https://doi.org/10.1186/s40536-024-00226-7