Literature DB >> 33119378

Every second counts: A comparison of four dot counting test scoring procedures for detecting invalid neuropsychological test performance.

Tasha Rhoads1, Zachary J Resch1, Gabriel P Ovsiew1, Daniel J White1, Dayna A Abramson1, Jason R Soble1.   

Abstract

Although performance validity tests (PVTs) are an integral element of neuropsychological assessment, most PVTs have historically been restricted to the memory domain. The Dot Counting Test (DCT) is a nonmemory PVT shown to reliably identify invalid performance. Although several traditional and abbreviated scoring methods have been derived, no study to date has directly compared the available scoring approaches within a single sample. This cross-sectional study cross-validated 4 different DCT scoring approaches, including the traditional rounded E-score proposed within the manual, an unrounded E-score, and 2 abbreviated scoring procedures based on 4- and 6-card versions (DCT-4 and DCT-6, respectively) in a diverse mixed clinical neuropsychiatric sample (N = 132). Validity groups were established by 5 independent criterion PVTs (102 valid and 30 invalid). Receiver operating characteristic curve analyses yielded significant areas under the curve (AUCs = .84-.86) for the overall sample, with sensitivities of 50%-67% at ≥ 89% specificity. The DCT scores had outstanding classification accuracy (AUCs ≥ .92; sensitivities = 80%-83%) in the unimpaired group and excellent classification accuracy in the impaired group (AUCs = .79-.81; sensitivities = 43%-60%). Whereas negligible differences emerged between the 4 scoring methods for the cognitively intact group, the DCT-4 showed notably stronger psychometric properties among the overall sample in general and the mild cognitive impairment group in particular. Results corroborate previous findings suggesting that the DCT is a robust PVT, regardless of the employed scoring procedure, and replicate support for the abbreviated DCT-4 as the recommended validity indicator. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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Year:  2020        PMID: 33119378     DOI: 10.1037/pas0000970

Source DB:  PubMed          Journal:  Psychol Assess        ISSN: 1040-3590


  1 in total

1.  Benefits and challenges of using logistic regression to assess neuropsychological performance validity: Evidence from a simulation study.

Authors:  Alexander Weigard; Robert J Spencer
Journal:  Clin Neuropsychol       Date:  2022-01-10       Impact factor: 4.373

  1 in total

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