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考量人格测量与压力相关变量所共享的方差:典型相关分析

Accounting for variance shared by measures of personality and stress-related variables: a canonical correlation analysis.

作者信息

Jelinek J, Morf M E

机构信息

Department of Psychology, University of Windsor, Ontario, Canada.

出版信息

Psychol Rep. 1995 Jun;76(3 Pt 1):959-62. doi: 10.2466/pr0.1995.76.3.959.

Abstract

Correlations were computed among the five personality scales of the NEO Personality Inventory, two measures derived from the Hassles Scale, and eight ways of dealing with stress measured by the Ways of Coping Questionnaire. Subjects were 66 undergraduate psychology students. Canonical correlation analysis suggests that multivariate procedures treating the data set as a whole can detect underlying patterns obscured by large sampling errors at lower levels of analysis.

摘要

对大五人格量表(NEO人格量表)的五个维度、从烦恼量表衍生出的两个测量指标以及应对方式问卷所测量的八种应对压力方式进行了相关性计算。研究对象为66名心理学专业本科学生。典型相关分析表明,将数据集作为一个整体进行多元分析的程序能够检测出在较低层次分析中因较大抽样误差而被掩盖的潜在模式。

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