Development and validation of the stanford binet-5 rarely missed items-nonverbal index for the detection of malingered mental retardation

Current research suggests that effort indices designed for the detection of malingered neurocognitive functioning do not have adequate sensitivity or specificity for use in cases where malingered mental retardation (MR) is the issue. Therefore, development and validation of reliable, objective measures for the detection of malingered MR have become imperative for both forensic and disability cases in recent years. The purpose of this study was to develop and validate an embedded malingering index for the Stanford Binet Intelligence Scales, Fifth Edition. Data from individuals in the SB5 standardization sample, who had intellectual deficits in the MR range, were used. Items that were rarely missed by the MR sample were pooled and validated using a sample of 54 college students asked to feign MR. Nonverbal items that were missed significantly more frequently by the malingering analog MR sample were retained and composed the Stanford Binet Rarely Missed Items-Nonverbal (SBRMI-NV) index. When only individuals who successfully malingered MR (FSIQ \u3c 71) were included, sensitivity of 0.88 and specificity of 1.00 were obtained. Results indicate that although the SBRMI-NV needs further validation, it shows great promise in the detection of malingered MR

The Wender Utah Rating Scale: Adult ADHD diagnostic tool or personality index?

OBJECTIVE: The Wender Utah Rating Scale (WURS) is used to retroactively assess ADHD symptoms. This study sought to determine whether the WURS actually functions as an index of dysfunctional personality traits. METHOD: Five hundred twenty-two adult participants completed the WURS and at least one of the following measures: Wechsler Adult Intelligence Scale-III (WAIS-III), Trails Making Test (Forms A and B), Conners\u27 Continuous Performance Test, d2 Test of Attention, and the Personality Assessment Inventory (PAI). RESULTS: The WURS correlated significantly with all PAI clinical and treatment scales; however, of the neuropsychological measures, only the CPT significantly correlated with the WURS score. Multiple regression analyses revealed a significant model that included clinical and treatment scales from the PAI as well as working memory and processing speed indexes from the WAIS-III that accounted for 39% of the variance in WURS scores. CONCLUSION: Performance on the WURS was more related to dysfunctional personality traits than to actual attentional performance in this young adult sample. (J. of Att. Dis. 2009; 13(1) 87-94)