Related Experiment Video
Updated: Oct 26, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Cross-validation of RAVLT performance validity indicators and the RAVLT/RO discriminant function in a large known
Kyle B Boone1, Dale Sherman2, Jamie Mishler1
1California School of Forensic Studies, Alliant International University, Los Angeles, CA, USA.
The Rey Auditory Verbal Learning Test (RAVLT) and its discriminant function effectively identify noncredible performance in neuropsychological evaluations. Optimized cut-offs enhance sensitivity, aiding in the detection of valid effort.
Area of Science:
- Neuropsychology
- Cognitive Assessment
- Performance Validity Testing
Background:
- Accurate assessment of cognitive function relies on valid performance.
- The Rey Auditory Verbal Learning Test (RAVLT) is a common tool in neuropsychological evaluations.
- Established cut-offs for RAVLT performance validity are crucial for interpreting results.
Purpose of the Study:
- To validate existing RAVLT performance validity cut-offs.
- To assess the efficacy of the RAVLT/RO discriminant function in a large neuropsychological sample.
- To determine the accuracy of these measures in identifying noncredible test performance.
Main Methods:
- Compared RAVLT scores and the RAVLT/RO discriminant function between credible (n=100) and noncredible (n=353) neuropsychology referrals.
- Established cut-offs with ≥90% specificity to evaluate sensitivity.
- Analyzed the impact of learning difficulty histories on performance validity measures.
Main Results:
- Noncredible patients demonstrated significantly lower scores on RAVLT measures compared to credible patients.
- Highest sensitivities were observed for the discriminant function (55.8%) and recognition total (53.1%) at ≥90% specificity.
- Adjusting cut-offs for individuals without learning difficulties increased sensitivity (e.g., recognition total to 65%).
Conclusions:
- RAVLT performance validity cut-offs and the RAVLT/RO discriminant function are valuable for identifying invalid performance.
- These measures achieve approximately 50% sensitivity, increasing to 65% with optimized cut-offs.
- The findings confirm the continued utility of RAVLT-based measures in detecting performance invalidity in clinical settings.
Related Concept Videos
Reliability and Validity
Receiver Operating Characteristic Plot
Comparing the Survival Analysis of Two or More Groups
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
One-Way ANOVA: Unequal Sample Sizes
Goodness-of-Fit Test

