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pro vyhledávání: '"Rehab AlHakmani"'
Autor:
Rehab AlHakmani, Yanyan Sheng
Publikováno v:
Large-scale Assessments in Education, Vol 12, Iss 1, Pp 1-27 (2024)
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
Externí odkaz:
https://doaj.org/article/bed81f10e4bc402ca36ddd6f3f7658e2
Autor:
Rehab AlHakmani, Yanyan Sheng
Publikováno v:
Behaviormetrika. 50:93-120
This study is to evaluate the performance of fully Bayesian information criteria, namely, LOO, WAIC and WBIC in terms of the accuracy in determining the number of latent classes of a mixture IRT model while comparing it to the conventional model via
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46c6e5ca60d63206afd411e6d6c7d161
https://doi.org/10.1007/s41237-022-00167-x
https://doi.org/10.1007/s41237-022-00167-x