Effort test failure: toward a predictive model
Webb, James W., Batchelor, Jennifer, Meares, Susanne, Taylor, Alan, and Marsh, Nigel V. (2012) Effort test failure: toward a predictive model. Clinical Neuropsychologist, 26 (8). pp. 1377-1396.
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Abstract
Predictors of effort test failure were examined in an archival sample of 555 traumatically brain-injured (TBI) adults. Logistic regression models were used to examine whether compensation-seeking, injury-related, psychological, demographic, and cultural factors predicted effort test failure (ETF). ETF was significantly associated with compensation-seeking (OR = 3.51, 95% CI [1.25, 9.79]), low education (OR: .83 [. 74, .94]), self-reported mood disorder (OR: 5.53 [3.10, 9.85]), exaggerated displays of behavior (OR: 5.84 [2.15, 15.84]), psychotic illness (OR: 12.86 [3.21, 51.44]), being foreign-born (OR: 5.10 [2.35, 11.06]), having sustained a workplace accident (OR: 4.60 [2.40, 8.81]), and mild traumatic brain injury severity compared with very severe traumatic brain injury severity (OR: 0.37 [0.13, 0.995]). ETF was associated with a broader range of statistical predictors than has previously been identified and the relative importance of psychological and behavioral predictors of ETF was evident in the logistic regression model. Variables that might potentially extend the model of ETF are identified for future research efforts.
Item ID: | 24530 |
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Item Type: | Article (Research - C1) |
ISSN: | 1744-4144 |
Keywords: | symptom validity testing, malingering, effort, depression, psychosis, illness behavior |
Date Deposited: | 09 Jan 2013 05:41 |
FoR Codes: | 17 PSYCHOLOGY AND COGNITIVE SCIENCES > 1701 Psychology > 170101 Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology) @ 50% 17 PSYCHOLOGY AND COGNITIVE SCIENCES > 1701 Psychology > 170106 Health, Clinical and Counselling Psychology @ 50% |
SEO Codes: | 92 HEALTH > 9202 Health and Support Services > 920209 Mental Health Services @ 50% 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920410 Mental Health @ 50% |
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