Confirmatory Factor Analysis (CFA) is a statistical technique used to test and validate a hypothesized relationship between observed variables and their underlying latent constructs.
Why is CFA important in data analysis?
CFA allows researchers to assess the fit of a theoretical model to the observed data, providing insights into the relationships between variables and their underlying constructs.
Can CFA be used for exploratory analysis?
No, CFA is primarily used for confirmatory purposes. For exploratory factor analysis, researchers should consider using different techniques.
