During Factor Analysis, Sometimes in Rotated Component Matrix we get negative extracted values for variables, what does that mean? Example Table is attached.
Dear Mayank
It simply shows negative contribution. In fact, I believe, if it suits with the theory, you should go ahead, otherwise use another rotation method.
Pl see the attached document, may be of some help.
Thanks
Chapter A note on the Factor Analysis in Forestry Sciences
Dear Mayank,
Please check the loadings values – if lower than .40 they are irrelevant, if higher, before to proceed to discussion, check if you reversed the scores of negative items; if yes, negative scores shows negative contributions (or a bipolar dimension if you have in the same factor negative and positive loadings).
Good luck with your research!
Hi!
The values you find in the rotated component matrix are the "loadings" of each item to your factor. It may be thought of as a "correlation" value but not exactly that. If they are reverse coded already, then as Lisete have told you, negative shows negative relations, and positive shows positive relations.
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