Multivariate Higher-Order IRT Model and MCMC Algorithm for Linking Individual Participant Data From Multiple Studies

Multivariate Higher-Order IRT Model and MCMC Algorithm for Linking Individual Participant Data From Multiple Studies

Many clinical and psychological constructs are conceptualized to have multivariate higher-order constructs that give rise to multidimensional lower-order traits. Although recent measurement models and computing algorithms can accommodate item response data with a higher-order structure, there are fe...

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Bibliographic Details
Main Authors: Eun-Young Mun, Yan Huo, Helene R. White, Sumihiro Suzuki, Jimmy de la Torre
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Psychology
Subjects:
higher-order IRT
multivariate IRT
multi-group IRT
Bayesian estimation
individual participant data
meta-analysis
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2019.01328/full

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https://www.frontiersin.org/article/10.3389/fpsyg.2019.01328/full

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