The process of data analysis with EFA and CFA will be explained. The researcher uses knowledge of the theory, empirical research, or both, postulates the relationship pattern a priori and then tests the hypothesis statistically. CFA allows the researcher to test the hypothesis that a relationship between observed variables and their underlying latent constructs exists. Confirmatory Factor analysis (CFA) is a statistical technique used to verify the Factor structure of a set of observed variables. By performing EFA, the underlying Factor structure is identified. EFA, traditionally, has been used to explore the possible underlying Factor structure of a set of observed variables without imposing a preconceived structure on the outcome (Child, 1990).
Suhr, University of Northern Colorado Abstract Exploratory Factor analysis (EFA) could be described as orderly simplification of interrelated measures.
Example: tourism industry Search 200-31: Exploratory or Confirmatory Factor Analysis?ġ Paper 200- 31 exploratory or confirmatory factor analysis ? Diana D.
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