The prediction of change: normative neuropsychological trajectories.

While the application of normative standards is vital to the practice of clinical neuropsychology, data regarding normative change remains scarce despite the frequency of serial assessments. Based on 285 normal individuals, we provide co-normed baseline data with demographic adjustments and test-retest standardized regression based (SRB) models for three time points for several measures. These models delineate normal, expected change across time, and yield standardized z-scores that are comparable across tests. Using a new approach, performance on any previous trial was accounted for in the subsequent models of change, yielding serial normative formulas that model change trajectories rather than simple change from point to point. These equations provide indices of deviation from expected baseline and change for use in clinical or research settings.

Comparative utility of Barona Formulae, Wtar demographic algorithms, and WRAT-3 reading for estimating premorbid ability in a diverse research sample.

Various Barona formulae, a WTAR algorithm based on demographic data, and WRAT-3 oral reading methods of estimating premorbid ability were compared in a diverse research sample of 119 subjects. These methods were correlated with one another and with a modified version of the Raven Standard Progressive Matrices. Descriptive data are provided to illustrate advantages and disadvantages of various methods of estimating premorbid ability when no formal intellectual testing is available. While predicting premorbid ability for individual subjects involves varying degrees of error, we found that the revised Barona formula was superior to the original formula for subjects at the upper end of ability level. When researchers have screened out learning disability and have subject samples with few individuals likely to be of superior premorbid intelligence, oral reading scores are a reasonable measure of premorbid ability. Otherwise, researchers are advised to use both demographic and oral reading methods to estimate premorbid ability.

Correlations for scores on the 180-item version of the MMPI-2 and the Neuroticism scale of the NEO-Personality Inventory.

64 normal adult controls (53 men, 11 women; M age 45.2 yr.) in a study of an estuary-associated syndrome were administered the MMPI-2-180 and the Neuroticism scale from the NEO-Personality Inventory. Pearson product-moment correlations between MMPI-2 scales and the Neuroticism scale were similar to those reviously reported using the full-length MMPI. Correlations between MMPI-2 scales, D, Pt, Sc, and Si, and NEO-PI Neuroticism (range .44 to .52) suggest that many psychiatric conditions are associated with psychological distress of the type individuals high in trait neuroticism are prone to experience.

Comparative efficiency of a discrepancy analysis for the classification of Attention-Deficit/Hyperactivity Disorder in adults.

The present study evaluated an alternative method of neuropsychological test interpretation for the classification of Attention-Deficit/Hyperactivity Disorder (ADHD) in adults. Specifically, an intra-individual discrepancy analysis was implemented in which differences between intellectual functioning and performance on a battery of six frontal/executive tests were examined within a homogeneous group of ADHD adults and matched normal controls. Significant group differences were identified between the ADHD adults and control sample on each of the dependent measures, with moderate diagnostic efficiency rates for the individual measures and a Discrepancy Impairment Index (DII). The discrepancy analysis approach generated significantly greater sensitivity in detecting the presence of ADHD as compared to a level of performance interpretive approach. Overall, these results provide support for the consideration of discrepancies between intellectual ability and frontal/executive functioning for the assessment of adult ADHD.