Rotation: changes the loading between the measures and factors, making the factors more interpretable, however the variance remains the same.
Makes both high and low correlations with the factor clearer.
Communalities: proportion of the variance of each variable captured by the analysis
Eigenvalues: variance captured by the factor
Factor loadings: correlations between the variables and the factors
-ve, limitations of factor analysis:
- factors that emerge are dependant on the measures entered
- if there are few measures representing a factor, it may not emerge
- based on corrrelations; only linear relationships are captured
- need replications
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