What are the two types of factor analysis used in data science?
- Confirmatory and explanatory
- Exploratory and confirmatory
- Inferential and descriptive
- Predictive and explanatory
Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) are the two types of factor analysis commonly used in data science. EFA is used when the structure of the underlying factors is not known, while CFA is used when the researcher has specific hypotheses about the factor structure.
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