JOURNAL ARTICLE
Profile of Embedded Validity Indicators in Criminal Defendants with Verified Valid Neuropsychological Test Performance.
Published In: Archives of Clinical Neuropsychology, 2023, v. 38, n. 4. P. 513 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Finley, John-Christopher A; Brook, Michael; Kern, Daniel M; Reilly, James L; Hanlon, Robert E 3 of 3
Abstract
This article focuses on the evaluation of embedded validity indicators (EVIs) in forensic neuropsychological assessments of criminal defendants, examining their accuracy and relationship with intrapersonal variables. In a sample of 164 criminal defendants with verified valid test performance, half of the 16 examined EVIs—such as those embedded in the Wechsler Adult Intelligence Scale (WAIS) Digit Span Total, Conners' Continuous Performance Test (CPT-II) Commissions, Wechsler Memory Scale (WMS) Logical Memory I and II, Controlled Oral Word Association Test (COWAT), Trail Making Test (TMT) Part B, and Stroop Word and Color—performed as intended, while the others showed higher false-positive rates. Regression analyses revealed that below-average intellectual functioning, history of moderate–severe traumatic brain injury (TBI), and neurodevelopmental disorders significantly increased the likelihood of scoring below EVI cutoffs despite valid performance, whereas histories of psychotic or substance use disorders did not. The findings suggest forensic practitioners should selectively use and interpret EVIs, especially in justice-involved individuals with cognitive impairments, to avoid misclassifying valid test performances as invalid.
Additional Information
- Source:Archives of Clinical Neuropsychology. 2023/06, Vol. 38, Issue 4, p513
- Document Type:Article
- Subject Area:Law
- Publication Date:2023
- ISSN:0887-6177
- DOI:10.1093/arclin/acac073
- Accession Number:163853769
- Copyright Statement:Copyright of Archives of Clinical Neuropsychology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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