200-31: Exploratory or Confirmatory Factor Analysis?

1 Paper 200-31 Exploratory or Confirmatory Factor analysis ? Diana D. Suhr, 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.

Psychologists searching for a neat and tidy description of human intellectual abilities lead to the development of factor analytic methods. Galton, a scientist during the 19th and 20th centuries, laid the foundations for factor analytic methods by developing quantitative methods to determine the interdependence between 2 variables. Karl Pearson

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  Development, Analysis, Human, Factors, Factor analysis

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