Dj. Slick et al., California Verbal Learning Test indicators of suboptimal performance in a sample of head-injury litigants, J CL EXP N, 22(5), 2000, pp. 569-579
Citations number
13
Categorie Soggetti
Psycology,Neurology
Journal title
JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY
Cutoff scores suggested by Millis, Putnam, Adams, and Ricker (1995) for det
ecting suboptimal performance on indices from the California Verbal Learnin
g Test (CVLT) were evaluated using data from 193 compensation-seeking parti
cipants. All participants claimed to have suffered a blow to the head in an
accident causing subsequent deterioration in cognitive function. The parti
cipants were divided into those with negligible or possible mild brain inju
ries and those with clear evidence of moderate to severe brain injuries. In
addition to the CVLT, all participants were administered the Computerized
Assessment of Response Bias (CARB), a two-alternative forced choice test of
recognition memory that is used to detect feigned cognitive impairment. Fo
r all CVLT indices, the distributions of outcome (valid vs. suboptimal perf
ormance) was unrelated to age and brain injury severity, and only weakly as
sociated with education. However, a significantly higher proportion of male
s than females obtained scores in the suboptimal performance range. The CVL
T indices were not fully redundant with each other with respect to binary p
articipant classifications; substantial disagreement between pairwise class
ifications was found among those participants who obtained at least one sco
re in the suboptimal performance range. CVLT index classifications were als
o found to be non-redundant with classifications based on CARB scores. The
CVLT may thus add useful data over and above that obtained from symptom val
idity testing. However, the data suggest that the use of the strategy where
any one or more below-cutoff CVLT scores are considered a positive indicat
or of suboptimal performance may be associated with a higher than acceptabl
e false-positive error rate.