The Role of Confirmatory Factor Analysis (CFA) in Structural Equation Modeling (SEM)

Abstract

          Confirmatory component analysis or CFA is a statistical analysis included in structural equation modelling (SEM). It is regarded as a method for testing the consistency of various variables in order to validate other variables or indicators. In each constituent by combining similar variables to discover the component underlying those variables. The aim of this confirmatory component analysis is to validate that the components to which those variables are associated are legitimate constructs. Alternatively, these variables may represent entirely unrelated components. In addition, confirmatory factor analysis may be utilised to build new hypotheses or indications, testing or verifying the original hypotheses or indications enables the researcher to comprehend the relationship between variables, decrease variance, and use statistics efficiently.