Sid O'Bryant PhD

Reporting of demographic variables in neuropsychological research: trends in the current literature.

Demographic variables have long been known to exert effects on psychological testing. Variables such as age, education, and gender have been thoroughly researched, and their effects are well documented. Other demographic variables such as race, ethnicity, socioeconomic status, native language, and acculturation are less well researched within the field of neuropsychology. Research that has been produced to date has demonstrated that each of these variables does indeed wield some effect on neuropsychological test performance. Therefore, it is important that these variables be reported in the literature so that neuropsychologists are able to generalize research findings to their everyday practice with patients from diverse backgrounds. With this in mind, the current study was undertaken in order to determine the frequency with which a range of demographic variables are being reported in current neuropsychological research journals. Publications from 1995 to 2000 in five of the most frequently utilized neuropsychology journals were reviewed. Results showed that while age, education, and gender are frequently reported, information on race, ethnicity, native language, and acculturation are rarely, if ever, reported. These results show that even though great strides have been taken in the burgeoning field of cross-cultural neuropsychology, current trends need to be changed in order for progress to continue.

The Relation Between Ethnicity and Cognistat Performance in Males Seeking Substance Use Disorder Treatment

This study examined the relation between ethnicity and results obtained during standard administration of the Cognistat, a screening measure of cognitive functioning, in a sample of male veterans seeking substance use disorder treatment (n = 312). Results indicated that screening items for the Naming, Calculation, and Similarities subtests were missed significantly more frequently by African American compared to Caucasian veterans, although the frequency of identification as impaired on the full metric portion of this scales did not differ based on ethnicity. The mean scores on the metric items for these three scales were very similar between groups. Additionally, African American veterans diverted to the Constructional Ability metric items had significantly lower scores on items from that subtest. Logistic regression analyses of impairment identification on the various subtests indicated that ethnicity was a significant (p < .005) predictor beyond the covariates of age and years of education for the Calculation subtest, but only accounted for 4.8% of the variance. Based on the results of the current study, it is recommended that 1) the entire Cognistat be administered regardless of screening item performance to minimize the risk of potential ethnic or cultural based performance bias and 2) a prospective study of potential demographic bias based on comparing Cognistat screening results to a battery of specific neuropsychological assessments of the same constructs be performed to maximize the potential specificity and sensitivity of this assessment for all demographic groups. The authors acknowledge the support of the South Central Veteran Affairs Health Care Network Mental Illness Research Education and Clinical Centers (MIRECC) in completion of this project

The California Verbal Learning Test-Children's Version: relation to factor indices of the Wechsler Intelligence Scale for Children-Third Edition.

The California Verbal Learning Test-Childrens Version (CVLT-C) provides clinicians with a method of assessing various aspects of childrens verbal memory and has been found to be sensitive to memory deficits resulting from a variety of neurological conditions. Intuitively, the CVLT-C would be expected to be highly related to a childs verbal cognitive abilities; however, with only a few exceptions, the relationship of this test to various domains of cognitive function has not been broadly studied empirically. To examine this issue, we evaluated the amount of unique variance in CVLT-C scores that could be predicted by the Verbal Comprehension, Perceptual Organization, Freedom from Distractibility, and Processing Speed indices of the Wechsler Intelligence Scale for Children, Third Edition (WISC-III) beyond that accounted for by age and gender in a sample of 62 children referred to an outpatient psychiatry clinic for neuropsychological evaluation. While the Processing Speed Index predicted a significant amount of variance for both short and long delay free and cued recall, the Verbal Comprehension Index was a poor predictor of CVLT-C performance on all outcome variables, accounting for only 1.5 to 4.5% additional variance above age and gender. These findings indicate that while the CVLT-C may be relatively independent of influences of verbal intelligence and abstract verbal reasoning, general speed and efficiency of processing play an important role in successful encoding for later retrieval on the CVLT-C.