Dear R-List, I have carried out a factor analysis using fa (psych) with nfactors=2, rotation="oblimin" and fm="pa". Now I have to report both pattern AND structure matrix. As I have understood R-Documentation, this can be obtained by setting the "oblique.scores" argument TRUE (structure matrix) or FALSE (pattern matrix), respectively. However both produced the same loading matrix even though my factors correlate to .65 (shouldn't this have a different effect on pattern matrix than on structure matrix?). In order to find a reproducible example, I tried again using the "Harman74.cor" data mentioned in the fa (psych) example. Again the fa output produced equal results with "oblique.scores" = TRUE/FALSE. Finally I have run the analysis with my initial data using SPSS and have found a substantial difference between structure and pattern matrix AND my fa output resemble the SPSS' pattern matrix more than the structure matrix (I thought fa was using structure matrix?). This might be very basic misunderstanding but how can I find pattern and structure matrices using fa, and why is the fa result more like the pattern matrix in SPSS than the structure matrix? I would be very thankful for any hint. Best wishes Alain [[alternative HTML version deleted]]