Estimating the Number of Factors in Exploratory Factor Analysis via Out-of-Sample Prediction Errors

Exploratory factor analysis (EFA) is one of the most popular statistical models in psychological science. A key problem in EFA is to estimate the number of factors. In this article, we present a new method for estimating the number of factors based on minimizing the out-of-sample prediction error of...

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Veröffentlicht in:	Psychological methods 2024-02, Vol.29 (1), p.48-64
Hauptverfasser:	Haslbeck, Jonas M. B., van Bork, Riet
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Computer Simulation Exploratory Factor Analysis Factor Analysis, Statistical Humans Models, Statistical Prediction Errors
Online-Zugang:	Volltext
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