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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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Bibliografski detalji
Izdano u:Psychol Methods
Glavni autori: Lu, Zhao-Hua, Chow, Sy-Miin, Loken, Eric
Format: Artigo
Jezik:Inglês
Izdano: 2017
Teme:
Online pristup: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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