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de Winter, J. C. F.; Dodou, D.; Wieringa, P. A. – Multivariate Behavioral Research, 2009
Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes ("N"), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for "N" below 50. Simulations were carried out to estimate the minimum required "N" for different…
Descriptors: Sample Size, Factor Analysis, Enrollment, Evaluation Methods
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Marsh, Herbert W. – Multivariate Behavioral Research, 1985
This study examines the factor structure of response to the masculinity-femininity (MF) scale of the Comrey Personality Scales for males and females. The use of confirmatory factor analysis for testing hierarchical factor structures and factorial invariance is illustrated. The findings argue that MF is a multifaceted, hierarchical construct.…
Descriptors: Cluster Analysis, Factor Analysis, Factor Structure, Females