Using Likelihood Ratios to Detect Invalid Performance with Performance Validity Measures

John E. Meyers · R. M. Miller · A. M. Scalese · Zachary W. Rupp · Z. P. Dupaix · Amy Junghyun Lee

60 citations0/0 files storedArchives of Clinical Neuropsychology

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Abstract

Larrabee (2008) applied chained likelihood ratios to selected performance validity measures (PVMs) to identify non-valid performances on neuropsychological tests. He presented a method of combining different PVMs with different sensitivities and specificities into an overall probability of non-validity. We applied his methodology to a set of 11 PVMs using a sample of 255 subjects. The results of the study show that in various combinations of two or three PVMs, a high reliability of invalidity can be determined using the chained likelihood ratio method. This study advances the ability of clinicians to chain various PVMs together and calculate the probability that a set of data is invalid.

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References

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