Apply an EFA to explore if dimension reduction from the original 14 variables is possible….

Apply an EFA to explore if dimension reduction from the original 14 variables is possible. Suppose the factor analytic model in (10.3) applies. Estimate the elements of the matrices BBT and D𝝍 via principal factors (i.e., principal axis factoring). Set the number of factors to qo = 5, and with no rotation, determine if this five-factor model is adequate via a percentage of explainable variability metric, as in (10.6). Set your threshold to 90%. (You may need to increase the maximum number of iterations in your computer code. Consider using at least 1000 iterations.) If not, increase or decrease the number of factors until an adequate reduction in dimension (if any) is found.

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