I'm learning a bit about exploratory factor analysis working with some datasets, but some doubts came in mind.
I'm using this data to practice turtle data. I have two groups of turtles: male and female and measures of 3 variables length, width and height.
The output of factor model using R is
Uniquenesses: length width height 0.017 0.026 0.053 Loadings: Factor1 length 0.991 width 0.987 height 0.973 Factor1 SS loadings 2.904 Proportion Var 0.968 The degrees of freedom for the model is 0 and the fit was 0
(1) Clearly there are differences between males and females, but what conclusions could I draw from the scores?
(2) In this case I have a single factor and can't do a biplot, how I could check what variable is the one that most differentiates males and females?
(3) I used some rotation (varimax and promax) and results were the same that I get without rotation. Is it because I have a single factor?
(4) Is there any difference between use Regression Scores and Barlett scores?