1. Embedded Measures of Performance Validity in the Rey Complex Figure Test in a Clinical Sample of Veterans
- Author
-
Bradley N. Axelrod, John E. Meyers, Philip C. Liethen, Michael A. Sugarman, and Erin M Holcomb
- Subjects
Adult ,Male ,Malingering ,050103 clinical psychology ,Sample (statistics) ,Clinical settings ,Neuropsychological Tests ,Logistic regression ,Sensitivity and Specificity ,Executive Function ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Statistics ,Developmental and Educational Psychology ,Humans ,Attention ,0501 psychology and cognitive sciences ,Aged ,Veterans ,05 social sciences ,Reproducibility of Results ,Recognition, Psychology ,Middle Aged ,Rey complex figure test ,Logistic Models ,Neuropsychology and Physiological Psychology ,Female ,Psychology ,Psychomotor Performance ,030217 neurology & neurosurgery ,Predictive modelling - Abstract
The purpose of this study was to determine how well scores from the Rey Complex Figure Test (RCFT) could serve as embedded measures of performance validity in a large, heterogeneous clinical sample at an urban-based Veterans' Affairs hospital. Participants were divided into credible performance (n = 244) and noncredible performance (n = 87) groups based on common performance validity tests during their respective clinical evaluations. We evaluated how well preselected RCFT scores could discriminate between the 2 groups using cut scores from single indexes as well as multivariate logistic regression prediction models. Additionally, we evaluated how well memory error patterns (MEPs) could discriminate between the 2 groups. Optimal discrimination occurred when indexes from the Copy and Recognition trials were simultaneous predictors in logistic regression models, with 91% specificity and at least 53% sensitivity. Logistic regression yielded superior discrimination compared with individual indexes and compared with the use of MEPs. Specific scores on the RCFT, including the Copy and Recognition trials, can serve as adequate indexes of performance validity, when using both cut scores and logistic regression prediction models. We provide logistic regression equations that can be applied in similar clinical settings to assist in determining performance validity.
- Published
- 2015