Cluster analysis was used in the attempt to derive a meaningful taxono
my of academic competence in 117 adults with temporal lobe epilepsy. R
eading, spelling and arithmetic achievement scores from the Wide Range
Achievement Test-Revised were subjected to hierarchical complete link
age cluster analysis, and the stability of the obtained solution was e
xamined by the application of two additional clustering procedures. A
six cluster solution was obtained, and tests of internal validity show
ed membership in four of the clusters to be extremely stable (Moderate
and Marked Reading/Spelling Underachievement, Above Average Achieveme
nt, Reading/Arithmetic Underachievement), while the remaining two clus
ters showed some exchange of cases (Arithmetic Underachievement, Avera
ge Achievement). Modest evidence of external validity was found throug
h the comparison of specific clusters to the Average Achievement group
on measures of neuropsychological function, neurological and demograp
hic characteristics. It is concluded that cluster analysis may be help
ful in developing taxonomies of psychosocial impairment in epilepsy, a
nd may facilitate an understanding of the determinants of variable qua
lity of life outcomes associated with epilepsy.