AI Article Synopsis
- The study aimed to evaluate the effectiveness of processing speed measures as tools for assessing performance validity in neuropsychological evaluations, specifically in a sample of military veterans suspected of having mild traumatic brain injury.
- A total of 114 veterans were tested, with results categorizing them into Valid and Invalid groups based on their performance on validity measures.
- While several processing speed tests showed high accuracy, the study found that combining different processing speed measures did not improve classification accuracy compared to using single measures.
Article Abstract
Objective: While recognition memory has been the primary tool for the assessment of performance validity in neuropsychological evaluations, some consideration has also been given to embedded measures from other cognitive domains, including processing speed. The present study evaluated the classification accuracy of several speed-based measures in a Veterans Affairs Medical Center Polytrauma sample.
Method: The present sample consisted of 114 military veterans (Mean age = 35.5, SD = 9.4) referred for a suspected history of mild traumatic brain injury who were administered a full neuropsychological protocol that included several validity checks. Veterans were assigned to Valid (n = 80) or Invalid (n = 34) groups based on outcomes of performance validity measures (PVMs).
Results: Several processing speed measures yielded acceptable or excellent classification accuracy; sensitivity values ranged from 29 to 53% with specificity values above 90%. Efforts to identify an improved algorithm that would collapse across multiple processing speed PVMs were unsuccessful compared to classification based on single measures.
Conclusions: Processing speed measures can serve as efficient performance validity assessment tools.
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| http://dx.doi.org/10.1080/13854046.2017.1285961 | DOI Listing |
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