approach is preferable to more subjective grouping techniques such as cluster analysis due to mathematical strengths, less subjectivity, and the ability to weight independent variables differentially and generate group probability predictions (Vermunt and Magidson, 2002). Model parameters are estimated using the maximum likelihood (ML) criterion. In the current study the 11 neuropsychological assessment variables (Table 1) were used as indicators (observed variables) to derive the latent profiles.
