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A Comparison of Bayesian and Frequentist Model Selection Methods for Factor Analysis Models
We compare the performances of well-known frequentist model fit indices (MFIs) and several Bayesian model selection criteria (MCC) as tools for cross-loading selection in factor analysis under low to moderate sample sizes, cross-loading sizes, and possible violations of distributional assumptions. T...
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| Publicat a: | Psychol Methods |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5527973/ https://ncbi.nlm.nih.gov/pubmed/28594228 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1037/met0000145 |
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