The Principal Component Analysis (PCA) of the Q-sorts resulted in the extraction of eight factors, each with eigenvalues greater than 1. Collectively, these factors accounted for 72% of the total variance, indicating that they represented most of…
The Principal Component Analysis (PCA) of the Q-sorts resulted in the extraction of eight factors, each with eigenvalues greater than 1. Collectively, these factors accounted for 72% of the total variance, indicating that they represented most of…