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Choosing the Optimal Number of Factors in Exploratory Factor Analysis: A Model Selection Perspective
Direct linkPreacher, Kristopher J.; Zhang, Guangjian; Kim, Cheongtag; Mels, Gerhard – Multivariate Behavioral Research, 2013
A central problem in the application of exploratory factor analysis is deciding how many factors to retain ("m"). Although this is inherently a model selection problem, a model selection perspective is rarely adopted for this task. We suggest that Cudeck and Henly's (1991) framework can be applied to guide the selection process.…
Descriptors: Factor Analysis, Models, Selection, Goodness of Fit
Peer reviewedOverall, John E.; Pfefferbaum, Betty – Multivariate Behavioral Research, 1982
Five experienced child and adolescent psychiatrists provided ratings of symptoms and behaviors of typical patients belonging to 18 different diagnostic groups. Ratings were then factor analyzed and revealed consistency of description in 14 of the 18 groups. (Author/JKS)
Descriptors: Adolescents, Behavior Problems, Child Psychology, Clinical Diagnosis
