Using Fit Statistic Differences to Determine the Optimal Number of Factors to Retain in an Exploratory Factor Analysis

Exploratory factor analysis (EFA) is widely used by researchers in the social sciences to characterize the latent structure underlying a set of observed indicator variables. One of the primary issues that must be resolved when conducting an EFA is determination of the number of factors to retain. Th...

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Veröffentlicht in:	Educational and psychological measurement 2020-04, Vol.80 (2), p.217-241
1. Verfasser:	Finch, W. Holmes
Format:	Artikel
Sprache:	eng
Schlagworte:	Comparative Analysis Correlation Discriminant analysis Error of Measurement Factor Analysis Goodness of Fit Monte Carlo Methods Researchers Sample Size Simulation Social Sciences
Online-Zugang:	Volltext
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