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Hopkins Verbal Learning Test - revised process variables as embedded measures of performance validity
Sarah J Schneider1, Emily Q Wang1, Catherine Bosyj1
1Department of Psychology, Neuropsychology Track, University of Windsor, Windsor, ON, Canada.
The Hopkins Verbal Learning Test - Revised (HVLT-R) process variables can effectively identify invalid performance in neuropsychological testing. A composite of these variables, PRO-7, shows strong potential as a performance validity test (PVT).
Area of Science:
- Neuropsychology
- Cognitive Assessment
- Psychometrics
Background:
- Performance validity tests (PVTs) are crucial in neuropsychological evaluations to detect non-credible effort.
- Traditional PVTs may not always capture subtle indicators of invalid performance.
- The Hopkins Verbal Learning Test - Revised (HVLT-R) offers potential embedded measures for performance validity.
Purpose of the Study:
- To investigate the utility of HVLT-R process variables as embedded performance validity tests (PVTs).
- To develop and evaluate a composite score (PRO-7) from HVLT-R process variables for detecting invalid performance.
- To assess the relationship between HVLT-R process variables, cognitive ability, and established PVTs.
Main Methods:
- Archival data from 52 adults undergoing neuropsychological testing were analyzed.
- Performance validity was assessed using a combination of free-standing and embedded PVTs.
- Seven HVLT-R process variables were examined individually and as a composite (PRO-7).
Main Results:
- Individual HVLT-R process variables correctly classified 77-79% of the sample.
- The PRO-7 composite demonstrated superior classification accuracy (83-85%) compared to individual variables.
- PRO-7 was independent of cognitive ability but strongly correlated with other PVTs; male sex and lower education were associated with failing PRO-7.
Conclusions:
- HVLT-R process variables are significant predictors of invalid performance in neuropsychological assessments.
- The PRO-7 composite shows promise as an alternative to traditional PVTs.
- Further research with larger samples is needed to confirm the generalizability and utility of HVLT-R process variables as PVTs.
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