A PCA Approach to Estimate the Q-matrix

Abstract

The primary purpose for this research is to estimate the Q-matrix using an exploratory factor analysis (EFA) of tetrachoric correlations. Results from simulation studies suggest that an EFA of tetrachoric correlations is feasible for estimating the Q-matrix, with recovery rates from different concoctions above 0.920. All analyses in this research are implemented in R.