Cargando…
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...
Autores principales: | Mun, Eun-Young, Huo, Yan, White, Helene R., Suzuki, Sumihiro, de la Torre, Jimmy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582193/ https://www.ncbi.nlm.nih.gov/pubmed/31244727 http://dx.doi.org/10.3389/fpsyg.2019.01328 |
Ejemplares similares
-
Bayesian Prior Choice in IRT Estimation Using MCMC and Variational Bayes
por: Natesan, Prathiba, et al.
Publicado: (2016) -
Accelerating MCMC algorithms
por: Robert, Christian P., et al.
Publicado: (2018) -
Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model
por: Kornely, Mia J. K., et al.
Publicado: (2022) -
Performance of a Three-Tier (IRT-DNA-IRT) Cystic Fibrosis Screening Algorithm in British Columbia
por: Sinclair, Graham, et al.
Publicado: (2020) -
An MCMC algorithm for sampling from the posterior conditioned to production history
por: Tjelmeland, H
Publicado: (2000)