Review:
Confirmatory Factor Analysis
overall review score: 4.5
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score is between 0 and 5
Confirmatory factor analysis (CFA) is a statistical technique used to test the validity of a theoretical model for a set of observed variables.
Key Features
- Testing the fit of a hypothesized model to observed data
- Determining the relationships between latent variables and observed variables
- Assessing the measurement properties of constructs in a research study
Pros
- Provides a rigorous method for testing theoretical models
- Helps researchers validate their research constructs
- Allows for quantification of measurement error
Cons
- Requires large sample sizes for accurate results
- Can be complex to interpret for those not familiar with statistical modeling
- Assumes linear relationships between variables