Tag: Psychometrics

Statistically, factor analysis is a powerful technique for modeling the variance among observed variables as a function of unobserved, or latent, entities. How is EFA different from CFA? At its core, EFA is an exploratory method for uncovering potential structures, while CFA is a confirmatory method for testing a predefined structure.

Exploratory Factor Analysis (EFA) is a multivariate statistical method with a clear primary purpose: to uncover the fundamental relationships and latent variables that explain patterns among a large set of observed variables. This process serves as a cornerstone for theory development and instrument design in numerous fields, including social science, psychology, and marketing.