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Toward a Typology of the Aggressive PersonalityMinton, Matthew K. 22 May 2006 (has links)
Efforts to develop an empirically derived typology of a major component of the implicit aggressive personality are described. A variety of samples (from both student and work populations) completed the Conditional Reasoning Test for Aggression (CRT-A; James, McIntyre, Glisson, Bowler, and Mitchell, 2004; James et al., 2005). Individual scores on the CRT-A were analyzed utilizing cluster analytic methodology in order to develop a typology of the key defense mechanisms used by the implicit aggressive personality. The resulting clusters were analyzed using affirmation analysis (Feild and Schoenfeldt, 1975) to test the reliability of each. A useful system for classifying the implicit aggressive personality resulted from this endeavor. It is expected that both scientists and practitioners can use this typology as a means for classifying aggressive individuals. Implications include the development of an organizing framework facilitating scientific communication in research on the aggressive personality as well as a classification system for organizations to identify those applicants and incumbents that might be potentially detrimental to the well-being of their coworkers.
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Multiple independent implicit personality processes: a challenge to dual process theoryBrooks, Charles Kennedy 16 September 2010 (has links)
This study applied the Process Dissociation Procedure (Bornstein, 2002) to test independence between personality processes represented by different implicit measurement techniques. In contrast to the commonly adopted literal view of dual processes in personality theory, the study predicted that two implicit measures (CRT-A and IAT-A) and one explicit measure (NEO-AH) of aggressive disposition would dissociate with each other in their 1) intercorrelations, 2) predictions of behavioral criteria of aggressiveness, and 3) potential moderation by situational cues. These hypotheses were generally, though not completely, supported. Most importantly, the two implicit measures dissociated in their lack of correlation and differential prediction of behavioral criteria, unaffected by changes in situational cues. As predicted, the CRT-A and the NEO-AH dissociated in their intercorrelations, predictions, and moderation by incentives. The IAT-A and the NEO-AH dissociated in their lack of intercorrelation and their differential moderation by changes in incentive conditions. As predicted, only the explicit measure was moderated by changes in incentive conditions. Unexpectedly, IAT-A and the NEO-AH were statistically indistinguishable in their prediction of behavioral criteria of aggression. The findings provided strong support for the hypotheses predicting multiple independent implicit personality processes.
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Implicit personality and leadership in stressful and dangerous situations: a first stepSmith, Daniel R. 05 April 2012 (has links)
Leadership in stressful and dangerous situations is vitally important in terms of lives, property, and national strategic objectives. But our understanding of effective leadership in these and other contexts is limited. Part of the problem is that interactionist theoretical perspectives are not reflected in contemporary leadership thinking. In addition, the impact of individual differences on leadership is often misrepresented or hidden by linear correlations and regressions conducted on continuous scores. This study employed new, innovative, indirect conditional reasoning measures to assess the personalities of 627 leaders entering the militaryâ s most challenging and stressful combat leader development course (the US Army Ranger School). These innovative measures predicted compelling differences in leadership, attrition, and in the peer evaluations made during the training. Analyses conducted on the continuous personality scores demonstrate that these findings are misrepresented or hidden by linear correlations and regressions. As an alternative, I present a configural scoring scheme, couched in a poker analogy, to explain how these individual differences combine to predict the odds of success for each of the 18 personality types studied.
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