Results of principal components analysis (PCA) for public and private sector models.^*

*The PCA-generated weights are the eigenvectors of the first principal component; eigenvectors were derived from the correlation matrix in Stata 12.0 [12, 13]. The first principal component explained 32% and 33% of the variance in the data for the public and private sector knowledge indexes, respectively. Results of principal components analysis (PCA) for public and private sector models.*