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10. Factor Analysis

  1. Click on Factor Analysis in the Statistics category

  1. Install Package: You can automatically Import the necessary packages for factor analysis.
  2. Data: Select the data for factor analysis. You can also choose specific conditions using the Subset option.
  3. Variable: Choose the variables from the selected data for factor analysis.
  4. Rotation: Select a rotation method to analyze which factors best explain the data.
  5. Method: Choose a factor analysis method:
    • Principal: Principal Factor Analysis
    • ML: Maximum Likelihood Factor Analysis
    • Minres: Minimum Residual Factor Analysis
  6. Impute: Select a method for handling missing values:
    • Drop: Remove rows with missing values.
    • Mean / Median: Replace missing values with the mean or median.
  7. Extract: Decide on the criteria for extracting factors and specify the number of factors to extract.
  8. Display: Visualize the results.
  9. Code View: Preview the generated code.
  10. Data View: Preview the resulting data.
  11. Run: Execute the code.