The Efficiency and Accuracy of The Test of Memory Malingering Trial 1, Errors on the First 10 Items of The Test of Memory Malingering, and Five Embedded Measures in Predicting Invalid Test Performance

The current study attempted to improve upon the efficiency and accuracy of one of the most frequently administered measures of test validity, the Test of Memory Malingering (TOMM) by utilizing two short forms (TOMM trial 1 or TOMM1; and errors on the first 10 items of TOMM1 or TOMMe10). In addition,...

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Bibliographic Details
Published in:Archives of clinical neuropsychology 2012-06, Vol.27 (4), p.417-432
Main Author: DENNING, John H
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Biological and medical sciences
Clinical trials
Cognitive ability
Female
Humans
Male
Malingering - diagnosis
Medical sciences
Memory
Memory Disorders - diagnosis
Middle Aged
Neuropsychological Tests - statistics & numerical data
Psychology. Psychoanalysis. Psychiatry
Psychometrics - instrumentation
Psychometrics. Diagnostic aid systems
Psychopathology. Psychiatry
Reproducibility of Results
Sensitivity and Specificity
Techniques and methods
Veterans - psychology
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Summary:The current study attempted to improve upon the efficiency and accuracy of one of the most frequently administered measures of test validity, the Test of Memory Malingering (TOMM) by utilizing two short forms (TOMM trial 1 or TOMM1; and errors on the first 10 items of TOMM1 or TOMMe10). In addition, we cross-validated the accuracy of five embedded measures frequently used in malingering research. TOMM1 and TOMMe10 were highly accurate in predicting test validity (area under the curve [AUC]=92% and 87%, respectively; TOMM1≤40 and TOMMe10≥1; sensitivities>70% and specificities>90%). A logistic regression of five embedded measures showed better accuracy compared with any individual embedded measure alone or in combination (AUC=87%). TOMM1 and TOMMe10 provide evidence of greater sensitivity to invalid test performance compared with the standard TOMM administration and the use of regression improved the accuracy of the five embedded cognitive measures.
ISSN:0887-6177
1873-5843
DOI:10.1093/arclin/acs044