This research demonstrates that Dual Scaling (DS) is a valuable tool for optimally scaling ordinal variables in the calculation of correlation matrices for analysis in structural equation modelling (SEM). More specifically, it shows that there are circumstances where correlation estimates based on DS would be a more appropriate choice for use in SEM than the Pearson product moment, canonical, or polychoric correlation techniques. With respect to ordinal variables, the study demonstrates that the SEM application of canonical correlation is unacceptable, that the Pearson correlation generates...