Using likelihood ratios to detect invalid performance with performance validity measures.
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.
['Meyers|John E|JE|', 'Miller|Ronald M|RM|', 'Thompson|Lisa M|LM|', 'Scalese|Adam M|AM|', 'Allred|Bonnie C|BC|', 'Rupp|Zachary W|ZW|', 'Dupaix|Zacharias P|ZP|', 'Junghyun Lee|Amy|A|']
D000293:Adolescent D000328:Adult D001930:Brain Injuries D005260:Female D006801:Humans D016013:Likelihood Functions D008950:MMPI D008297:Male D008306:Malingering D008569:Memory Disorders D008875:Middle Aged D009483:Neuropsychological Tests D015203:Reproducibility of Results D055815:Young Adult
Assessment Impairment Malingering/symptom validity testing Mild cognitive Test construction