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Detecting depression and malingering using response times on the Personality Assessment Inventory

dc.contributor.advisorMazmanian, Dwight
dc.contributor.authorCyr, Derick Glen Adam
dc.date.accessioned2017-06-07T20:07:59Z
dc.date.available2017-06-07T20:07:59Z
dc.date.created2000
dc.date.issued2000
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/3132
dc.description.abstractThe detection of individuals who are malingering psychological dysfunction has proven to be a difficult task (Rogers, 1997). This study was conducted to investigate whether response times on the Personality Assessment Inventory could differentiate among asymptomatic controls (n = 15), clinically depressed individuals (n = 12), and a group instructed to malinger depression (n = 19). Conventional responses and item response latencies were recorded for the Negative Impression, Positive Impression, Depression - Affective, Depression — Cognitive, and Depression - Physiological scales. Discriminant function analyses revealed that conventional scores correctly classified 100% of the controls, 91.7% o f the depressed, and 73.7% of the malingerers. Standardized response latencies correctly classified 73.3% of controls, 58.3% of depressed, and 84.2% of malingerers. Classification rates for raw response latencies were 73.3%, 50.0%, and 78.9% respectively. Finally, a new scale composed of items from the above subscales maxim ally discrim inating malingerers from depressed individuals could correctly classify 100% o f depressed and 91.7% of malingerers. These findings are consistent with other research (Fekken & Holden, 1994) suggesting that response latencies might provide meaningful information.
dc.language.isoen_US
dc.subjectDepression, Mental Testing
dc.subjectPersonality Assessment Inventory
dc.subjectMalingering and test construction
dc.titleDetecting depression and malingering using response times on the Personality Assessment Inventory
dc.typeThesis
etd.degree.nameMaster of Arts
etd.degree.levelMaster
etd.degree.disciplinePsychology
etd.degree.grantorLakehead University


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