Cargando…
Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research
The estimation of the correct number of dimensions is a long-standing problem in psychometrics. Several methods have been proposed, such as parallel analysis (PA), Kaiser-Guttman’s eigenvalue-greater-than-one rule, multiple average partial procedure (MAP), the maximum-likelihood approaches that use...
Autores principales: | Golino, Hudson F., Epskamp, Sacha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465941/ https://www.ncbi.nlm.nih.gov/pubmed/28594839 http://dx.doi.org/10.1371/journal.pone.0174035 |
Ejemplares similares
-
Estimating psychological networks and their accuracy: A tutorial paper
por: Epskamp, Sacha, et al.
Publicado: (2017) -
Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections
por: Golino, Hudson, et al.
Publicado: (2021) -
Estimating psychopathological networks: Be careful what you wish for
por: Epskamp, Sacha, et al.
Publicado: (2017) -
Bounds on the domination number and the metric dimension of co-normal product of graphs
por: Javaid, Imran, et al.
Publicado: (2018) -
Psychometric network models from time-series and panel data
por: Epskamp, Sacha
Publicado: (2020)