CFA stands for Confirmatory Factor Analysis, and SEM stands for Structural Equation Modeling.
In the context of statistics and research, SEM stands for Structural Equation Modeling, and CFA stands for Confirmatory Factor Analysis.
- Structural Equation Modeling (SEM): It is a statistical technique for testing and estimating causal relationships using a combination of statistical data and qualitative causal assumptions. SEM encompasses a variety of models, including path analysis, factor analysis, and regression analysis.
- Confirmatory Factor Analysis (CFA): It is a subset of structural equation modeling that focuses specifically on the measurement model, examining the relationships between observed variables and their underlying latent constructs or factors. CFA is often used to assess the validity of a measurement instrument and to confirm that the observed variables are indeed measuring the intended constructs.
So, in the context of statistics and research methodology, SEM stands for Structural Equation Modeling, and CFA stands for Confirmatory Factor Analysis.