Determining the Number of Factors in P-Technique Factor Analysis

Autor/inn/en	Lo, Lawrence L.; Molenaar, Peter C. M.; Rovine, Michael
Titel	Determining the Number of Factors in P-Technique Factor Analysis
Quelle	In: Applied Developmental Science, 21 (2017) 2, S.94-105 (12 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1088-8691
DOI	10.1080/10888691.2016.1173549
Schlagwörter	Factor Analysis; Structural Equation Models; Correlation; Sample Size; Comparative Analysis; Factor Structure; Simulation + Suchen Sie Ihr Suchwort? Faktorenanalyse; Korrelation; Faktorenstruktur; Simulation program; Simulationsprogramm
Abstract	Determining the number of factors is a critical first step in exploratory factor analysis. Although various criteria and methods for determining the number of factors have been evaluated in the usual between-subjects R-technique factor analysis, there is still question of how these methods perform in within-subjects P-technique factor analysis. A novel feature of P-technique data is that observations are usually sequentially dependent in some way. The current study evaluates 10 criteria for determining the number of factors for data simulated to resemble intensive repeated-measures data for which P-technique is usually applied. The number of factors, loading size, observed-to-latent ratio, serial-dependency, and sample size were simulation design factors with conditions simulated to resemble P-technique data. The methods are compiled from various statistical techniques and have been demonstrated in previous R-technique simulations. Finally, a real data example demonstrates applying the acceleration factor method to several time series data sets. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01