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Related Experiment Video

Updated: May 3, 2026

The Rodent Psychomotor Vigilance Test rPVT: A Method for Assessing Neurobehavioral Performance in Rats and Mice
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Using likelihood ratios to detect invalid performance with performance validity measures.

John E Meyers1, Ronald M Miller, Lisa M Thompson

  • 1Meyers Neuropsychological Services, Mililani, HI, USA.

Archives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists
|February 7, 2014
PubMed
Summary
This summary is machine-generated.

This study demonstrates how combining multiple performance validity measures (PVMs) using chained likelihood ratios reliably identifies invalid neuropsychological test performances. Clinicians can now better calculate the probability of non-valid data.

Keywords:
AssessmentImpairmentMalingering/symptom validity testingMild cognitiveTest construction

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Area of Science:

  • Neuropsychology
  • Psychometrics
  • Forensic Psychology

Background:

  • Performance validity measures (PVMs) are crucial for identifying non-valid performances on neuropsychological tests.
  • Existing methods for combining PVMs can be complex and may not always yield a clear probability of invalidity.
  • Larrabee (2008) proposed a chained likelihood ratio method to integrate PVMs.

Purpose of the Study:

  • To apply Larrabee's chained likelihood ratio methodology to a set of 11 PVMs.
  • To evaluate the reliability of this method in determining the probability of non-valid performances.
  • To enhance clinical utility in assessing data validity.

Main Methods:

  • Utilized a sample of 255 subjects.
  • Applied chained likelihood ratios to combine selected PVMs.
  • Analyzed various combinations of two and three PVMs.

Main Results:

  • The chained likelihood ratio method demonstrated high reliability in identifying invalid performances when combining PVMs.
  • Specific combinations of two or three PVMs effectively determined a high probability of invalidity.
  • The methodology proved effective in a practical application with a substantial sample size.

Conclusions:

  • The chained likelihood ratio method offers a reliable approach to combining PVMs for assessing neuropsychological test data validity.
  • This technique enhances clinicians' ability to calculate the probability of non-valid performances.
  • The study supports the clinical utility of integrating multiple PVMs for improved accuracy in performance assessment.