We first conducted a principal axis EFA in PASW 18 on the lower order scales of all eight instruments we evaluated and rotated the resulting factors with Oblimin. We then factored these factor score estimates, factored the resulting estimates, and so on until we were able to achieve a single ‘factor of factors’ for each instrument2. The inter-correlations of factor scores in this analysis are reported in Table 1. Notably, there were several modest correlations in this matrix (e.g., 15 of 28 correlations were < ȣ.30ȣ), providing an initial indication that these GFP variables were not tapping the same construct. To evaluate the coherence of general factors across different inventories, we conducted a principal axis EFA on the factor score estimates from each independent inventory. The first three factors had eigenvalues of 3.43, 1.77, and 1.04 which together explained 61.73% of the covariance in factor scores. Although parallel analysis suggested extracting only two factors, doing so rendered the communality for the 6fpq GFP estimate .04, and it did not load strongly onto either factor (pattern coefficients = −.03, .20). This
