CFA

Confirmatory Factor Analysis (CFA) is a statistical method used to verify whether observed data aligns with a predefined structure of underlying factors or traits. Essentially, it tests if the way many measured variables relate to each other matches an existing theory about how certain concepts are organized. For example, if you believe a questionnaire measures different aspects of happiness—like mood, life satisfaction, and social connection—CFA helps confirm whether the data supports that structure. It's a valuable tool for validating measurement models and ensuring that the data accurately reflects the conceptual framework you're testing.