Principal components analysis (PCA) with oblique promax rotation was performed for the baseline MENQOL administration, to determine whether the latent item structure mirrored the four domains specified in the tool’s construction. Promax rotation was utilized due to the high number of component inter-correlations, indicating that the factors would likely be correlated. A Kaiser–Meyer–Olkin (KMO) statistic of 0.874 indicated that factor analysis was appropriate for the data and Bartlett’s test of sphericity was significant, suggesting the absence of multicollinearity (Ch square = ; df = 406; p < 0.001).>
