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Embedded performance validity tests within the Hopkins Verbal Learning Test - Revised and the Brief Visuospatial
R John Sawyer1, S Marc Testa2, Moira Dux1
1a Baltimore Veterans Affairs Medical Center , Baltimore , MD , USA.
The Clinical Neuropsychologist
|October 21, 2016
Summary
Embedded measures within the Hopkins Verbal Learning Test - Revised (HVLT-R) and Brief Visuospatial Memory Test - Revised (BVMT-R) can help identify invalid neurocognitive test data. These tests show promise in detecting unreliable performance in clinical assessments.
Area of Science:
- Neuropsychology
- Cognitive Assessment
- Psychometrics
Background:
- Detecting invalid neurocognitive test data is crucial for accurate assessment.
- Embedded performance validity tests (PVTs) are increasingly important in clinical practice.
- Existing PVTs require further development for routine use.
Purpose of the Study:
- To investigate the classification accuracy of embedded measures within the HVLT-R and BVMT-R.
- To determine if these measures can identify individuals failing multiple PVTs.
- To assess the utility of HVLT-R and BVMT-R for detecting invalid performance.
Main Methods:
- A sample of 109 US military veterans underwent neuropsychological testing.
- Participants were classified into valid (n=86) and invalid (n=23) performance groups based on PVT results.
- The HVLT-R Recognition Discrimination Index and BVMT-R Retention Percentage were analyzed for classification accuracy.
Main Results:
- The HVLT-R Recognition Discrimination Index demonstrated good discrimination (AUC=.78) with high specificity (93%).
- The BVMT-R Retention Percentage showed adequate discrimination (AUC=.70) with high specificity (92%).
- Both measures showed potential for identifying invalid test data.
Conclusions:
- The HVLT-R and BVMT-R embedded measures show promise as PVTs.
- These measures may aid in detecting invalid neurocognitive test data when used with other PVTs.
- These embedded PVTs are not recommended for patients with dementia.
