The Big Five as states: How useful is the five-factor model to describe intraindividual variations over time?
The Big Five as states: How useful is the five-factor model to describe intraindividual variations over time?
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DOI：
10.1006/jrpe.1997.2206
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发表时间：
1998-06-01
影响因子：
3.3
通讯作者：
Ostendorf, F
中科院分区：
文献类型：
--
作者：
Borkenau, P;Ostendorf, F
本研究探讨了状态纵向变异的因子结构与性状个体差异的因子结构之间的相似性。在连续90天的时间里，22名学生自我管理了30个自我报告项目，这些项目是大五的标志。大多数参与者在90次测量中表现出良好的辨别力。计算了不同测量情况下项目之间的相关性。这些P-相关性被分解，并且使用正交Procrustes旋转将因子矩阵向个体差异的参考因子结构进行目标旋转。一个实质性的匹配之间的因素结构的纵向相关性，已被平均跨参与者和个体差异的因素结构。对于个体参与者来说，这种因素匹配更差。得出的结论是，大五对于描述状态的纵向变化是有用的。五因素模型和特质方法之间的一个尖锐的区别建议。(C)北京：科学出版社.
This study investigated the similarity between the factor structure of longitudinal variations in states and the factor structure of individual differences in traits. On 90 consecutive days, 22 students self-administered 30 self-report items that were markers of the Big Five. Most participants showed good discrimination among the 90 measurement occasions. Correlations were computed between items across measurement occasions. These P-correlations were factored, and the factor matrices were target rotated toward a reference factor structure of individual differences, using orthogonal Procrustes rotations. A substantial match was obtained between the factor structure of longitudinal correlations that had been averaged across participants and the factor structure of individual differences. For individual participants, this factor match was worse. It is concluded that the Big Five are useful to describe longitudinal variations in states. A sharp distinction between the five-factor model and the trait approach is recommended. (C) 1998 Academic Press.