Transcription of Confirmatory Factor Analysis - Statpower
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Confirmatory Factor Analysis - Statpower
Confirmatory Factor Analysis with R James H. Steiger Psychology 312 Spring 2013 Traditional exploratory Factor Analysis (EFA) is often not purely exploratory in nature. The data analyst brings to the enterprise a substantial amount of intellectual baggage that affects the selection of variables, choice of a number of factors , the naming of factors , and in some cases the way factors are rotated to simple structure. So to some extent, EFA is actually Confirmatory in nature. Confirmatory Factor Analysis (CFA) provides a more explicit framework for confirming prior notions about the structure of a domain of content. CFA adds the ability to test constraints on the parameters of the Factor model to the methodology of EFA. In practice, people frequently combine EFA and CFA, to the extent that the appropriate statistical model is not actually determinable.
Confirmatory Factor Analysis with R James H. Steiger Psychology 312 Spring 2013 Traditional Exploratory factor analysis (EFA) is often not purely exploratory in nature. The data analyst brings to the enterprise a substantial amount of intellectual baggage
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