1. Cross-validation of RAVLT performance validity indicators and the RAVLT/RO discriminant function in a large known groups sample
- Author
-
Michelle A Zeller, Matthew Wright, Maria Cottingham, Tara L Victor, Elizabeth Ziegler, Jamie Mishler, Dale S. Sherman, Kyle B. Boone, and Georg Daoud
- Subjects
Malingering ,medicine.medical_specialty ,Neuropsychology ,Reproducibility of Results ,Recognition, Psychology ,Neuropsychological Tests ,Audiology ,Sensitivity and Specificity ,Cross-validation ,Psychiatry and Mental health ,Clinical Psychology ,Neuropsychology and Physiological Psychology ,Arts and Humanities (miscellaneous) ,Discriminant function analysis ,Research Design ,Developmental and Educational Psychology ,medicine ,Humans ,Rey Auditory Verbal Learning Test ,Psychology - Abstract
Objective To cross-validate RAVLT performance validity cut-offs and the RAVLT/RO discriminant function in a large neuropsychological sample. Method RAVLT scores and the RAVLT/RO discriminant function were compared in credible (n = 100) and noncredible (n = 353) neuropsychology referrals. Results Noncredible patients scored lower than credible patients on RAVLT scores and the RAVLT/RO discriminant function. With cut-offs set to ≥90% specificity, highest sensitivities were observed for the discriminant function (cut-off ≤.064; 55.8%), recognition total (cut-off ≤9; 53.1%), the recognition combination score (≤10; 47.7%), and total learning across trials (cut-off ≤31; 45.3%). Individuals with histories of learning difficulties were over-represented in the 10% of credible patients exceeding cut-offs. When these individuals were removed, cut-offs could be tightened while still maintaining at least 90% specificity, and thereby increasing sensitivity (e.g., recognition total cut-off ≤10, 65% sensitivity; RAVLT/RO discriminant function cut-off ≤.176, 58% sensitivity). When three of the most sensitive, non-overlapping scores were considered in combination, 17% of credible patients failed ≥1 of the three cut-offs, while 3% failed two, and only 1% failed all three. In contrast, in the noncredible sample, more than two-thirds failed one or more of the three cut-offs, nearly half failed ≥2, and nearly a quarter failed all three. Conclusions RAVLT PVT cut-offs and the RAVLT/RO discriminant function achieve approximately 50% sensitivity, and approach 65% sensitivity when cut-offs specific to samples without histories of learning problems are employed, confirming that RAVLT cut-offs and the RAVLT/RO discriminant function continue to be valuable techniques in the identification of performance invalidity.
- Published
- 2021
- Full Text
- View/download PDF