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Minimizing false positive error with multiple performance validity tests: response to Bilder, Sugar, and Hellemann
1a Independent Practice , Sarasota , FL 34239 , USA.
The Clinical Neuropsychologist
|December 11, 2014
Summary
Using multiple performance validity tests (PVTs) and symptom validity tests (SVTs) with a criterion of ≥2 failures is supported for individual cases. This approach maintains low false positive rates in patients with genuine neurological and psychiatric conditions.
Area of Science:
- Neuropsychology
- Forensic Psychology
- Clinical Psychology
Background:
- Debate exists regarding the empirical support for using multiple performance validity tests (PVTs) in individual case evaluations.
- Previous studies suggest that a criterion of failing ≥2 PVTs/Symptom Validity Tests (SVTs) does not substantially increase false positive rates.
- This contrasts with arguments that empirical support is lacking for this approach.
Purpose of the Study:
- To re-evaluate data supporting the use of multiple PVTs/SVTs in individual case assessment.
- To determine if a criterion of ≥2 failures maintains acceptable false positive rates.
- To discuss strategies for minimizing false positive errors in performance validity testing.
Main Methods:
- Reconsideration of data from Larrabee (2014) concerning PVT/SVT failures.
- Analysis of false positive rates using a criterion of ≥2 out of up to 7 PVTs/SVTs.
- Discussion of clinical case factors influencing false positive identification.
Main Results:
- A criterion of ≥2 PVTs/SVTs failed out of up to 7 tests keeps false positive rates near or below 10% for individuals with genuine disorders.
- This finding supports the utility of multiple PVTs/SVTs in individual case evaluation.
- The likelihood of invalid performance increases as the number of failed PVTs/SVTs rises.
Conclusions:
- The use of multiple performance validity tests (PVTs) and symptom validity tests (SVTs) with a criterion of ≥2 failures is empirically supported for individual case assessment.
- This method effectively minimizes false positive rates in clinical populations.
- Strategies for managing potential false positives include adjusting criteria for at-risk individuals and utilizing clinical history.