Cargando…
Skew t Mixture Latent State-Trait Analysis: A Monte Carlo Simulation Study on Statistical Performance
This simulation study assessed the statistical performance of a skew t mixture latent state-trait (LST) model for the analysis of longitudinal data. The model aims to identify interpretable latent classes with class-specific LST model parameters. A skew t-distribution within classes is allowed to ac...
Autores principales: | Hohmann, Louisa, Holtmann, Jana, Eid, Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6083219/ https://www.ncbi.nlm.nih.gov/pubmed/30116209 http://dx.doi.org/10.3389/fpsyg.2018.01323 |
Ejemplares similares
-
Analyzing Stability and Change in Dyadic Attachment: The Multi-Rater Latent State-Trait Model With Autoregressive Effects
por: Bohn, Johannes, et al.
Publicado: (2021) -
Residual-Based Algorithm for Growth Mixture Modeling: A Monte Carlo Simulation Study
por: Marcoulides, Katerina M., et al.
Publicado: (2021) -
Monte Carlo simulation in statistical physics: an introduction
por: Binder, Kurt, et al.
Publicado: (2019) -
Monte-carlo simulation-based statistical modeling
por: Chen, Ding-Geng, et al.
Publicado: (2017) -
Monte Carlo simulation in statistical physics: an introduction
por: Binder, Kurt, et al.
Publicado: (1992)