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Voluntary turnover prediction: comparing the utility of implicit and explicit personality measures

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dc.contributor.author Wiita, Nathan Ellis en_US
dc.date.accessioned 2010-01-29T19:52:57Z
dc.date.accessioned 2015-07-13T10:56:37Z
dc.date.available 2010-01-29T19:52:57Z
dc.date.available 2015-07-13T10:56:37Z
dc.date.issued 2009-08-26 en_US
dc.identifier.uri http://hdl.handle.net/1853/31786
dc.identifier.uri http://evidence.thinkportal.org/handle/1853/31786
dc.description.abstract Because of the outcomes associated with employee turnover, few areas have been researched as extensively in the field of Industrial/Organizational Psychology (Cotton&Tuttle, 1986). Correlates and consequences of employee turnover have been widely examined, though less expansive research has been dedicated to identifying (and potentially screening) turnover prone candidates. To address this concern, the comparative utility of three personality measures for predicting voluntary turnover in law enforcement was assessed. Self-report predictor measures consisted of the Minnesota Multiphasic Personality Inventory-2, the most widely used instrument in this industry, and the Personality Research Form-E. The implicit personality measure for this investigation was the Conditional Reasoning Test for Aggression (James, 1998). In line with previous research (e.g., Hough, 1998), self-report job applicant scores indicated a defensive or self-presentation bias, whereas the CRT-A did not. Normative and comparative data for all predictor measures are presented to further knowledge for the researcher and practitioner. The importance of context, in this case the influence of the economy on attrition rates, is also discussed. en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Conditional reasoning en_US
dc.subject Personality assessment en_US
dc.subject Turnover en_US
dc.subject.lcsh Labor turnover
dc.subject.lcsh Personality
dc.subject.lcsh Self-report inventories
dc.subject.lcsh Subliminal perception
dc.title Voluntary turnover prediction: comparing the utility of implicit and explicit personality measures en_US
dc.type Thesis en_US
dc.description.degree M.S. en_US
dc.contributor.department Psychology en_US
dc.description.advisor Committee Chair: Lawrence R. James; Committee Member: Jack Feldman; Committee Member: Richard Catrambone en_US


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