factor analysis

• Keisen-guttman rule: any factors with an eigenvalue greater than one should be retained
• an eigenvalue is the sum of squared factor loadings for a given factor
• three important steps

  1. extraction - extract factors from the data
  2. rotation -iterative process - which questionnaires go to which factor
  3. interpretation - theory to label the final factors
• extraction

  • kaiser-guttman rule: factors with eigenvalues great than one
  • the scree plot
• orthogonal - factors are uncorrelated

  oblique - allows them to correlate