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通过情感模式预测空军基础训练的结业情况。

Predicting discharge from Airforce basic training by pattern of affect.

作者信息

Lubin B, Fiedler E R, Van Whitlock R

机构信息

University of Missouri at Kansas City, USA.

出版信息

J Clin Psychol. 1999 Jan;55(1):71-8. doi: 10.1002/(sici)1097-4679(199901)55:1<71::aid-jclp7>3.0.co;2-i.

DOI:10.1002/(sici)1097-4679(199901)55:1<71::aid-jclp7>3.0.co;2-i
PMID:10100833
Abstract

We compared the efficacy of the state form of the MAACL-R (Zuckerman & Lubin, 1985) in predicting success in Air Force basic training. Results of discriminant functions analyses showed that the Anxiety, Depression, Hostility, Positive Affect, and Sensation Seeking scales of the state MAACL-R efficiently predicted success in basic training. The need to incorporate state measures into studies of prediction is discussed.

摘要

我们比较了状态版MAACL-R(祖克曼和卢宾,1985年)在预测空军基础训练成功率方面的效果。判别函数分析结果表明,状态版MAACL-R的焦虑、抑郁、敌意、积极情感和感觉寻求量表能有效地预测基础训练的成功率。文中讨论了在预测研究中纳入状态测量的必要性。

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