一篇关于Exploratory Factor Analysis和 Confirmatory Factor Analysis的比较的短文，很实用



Exploratory or Confirmatory Factor Analysis?
Diana D. Suhr, Ph.D.
University of Northern Colorado

Abstract
Exploratory factor analysis (EFA) could be described as orderly simplification of interrelated measures. 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). By performing EFA, the underlying factor structure
is identified.
Confirmatory factor analysis (CFA) is a statistical technique used to verify the factor structure of a set of observed
variables. CFA allows the researcher to test the hypothesis that a relationship between observed variables and their
underlying latent constructs exists. The researcher uses knowledge of the theory, empirical research, or both,
postulates the relationship pattern a priori and then tests the hypothesis statistically.
The process of data analysis with EFA and CFA will be explained. Examples with FACTOR and CALIS procedures
will illustrate EFA and CFA statistical techniques.