In this study we applied clustering procedures
to a subgroup of 341 participants from the WAIS–R
standardization sample. These individuals were selected
by virtue of their having full-scale profiles characterized
by scatter of greater than 8 scaled scores. Using a hierarchical
clustering algorithm, a multistage procedure was used to
establish and evaluate a cluster solution. The subject
selection and clustering methods were successful in revealing
a set of 9 profile types characterized by unique profile
shapes. All profiles were associated with FSIQs that were
at least in the average range. Seven of the profiles were
characterized by specific subtest strengths, only 1 with
subtest weaknesses. Examination of the external correlates
of profile membership revealed differences among profile
groups for age, marital status, education, and occupation.
Our findings suggest that variability in and across the
9 profile types in this sample reflects increased contributions
of unique abilities in comparison to the influence of the
underlying primary and secondary WAIS–R dimensions
of cognitive ability. (JINS, 1997, 3,
120–127.)