Hi,
I did an exploratory factor analysis. Direct Oblimin and Principal Axis factoring. The 12 variables loaded on 2 factors. The factor loadings on factor 1 (column one in pattern matrix) and factor loadings on factor 2 (column two in pattern matrix) are highly negatively correlated (R2=0.991).
Is this normal or problematic? Thank you!
It would be important to look at the actual pattern matrix before drawing definitive conclusions, but in general, you do want your variables to load strongly on one (and, ideally, only one) factor and to not have high loadings on any other factors. So a strong negative correlation between the loadings on two different factors would be expected and desirable.
I don't think it is common to report the correlation between loadings on different factors. I would report (among other things) the actual loadings (pattern matrix), the structure matrix (correlations between variables and factors), and the correlations between the factors.
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