巴尔的摩纵向衰老研究中NEO-PI-R量表的分层线性模型分析。
Hierarchical linear modeling analyses of the NEO-PI-R scales in the Baltimore Longitudinal Study of Aging.
作者信息
Terracciano Antonio, McCrae Robert R, Brant Larry J, Costa Paul T
机构信息
Laboratory of Personality and Cognition, National Institute on Aging, National Institutes of Health, Department of Health and Human Services, Baltimore, MD 21224-6825, USA.
出版信息
Psychol Aging. 2005 Sep;20(3):493-506. doi: 10.1037/0882-7974.20.3.493.
Abstract
The authors examined age trends in the 5 factors and 30 facets assessed by the Revised NEO Personality Inventory in Baltimore Longitudinal Study of Aging data (N=1,944; 5,027 assessments) collected between 1989 and 2004. Consistent with cross-sectional results, hierarchical linear modeling analyses showed gradual personality changes in adulthood: a decline in Neuroticism up to age 80, stability and then decline in Extraversion, decline in Openness, increase in Agreeableness, and increase in Conscientiousness up to age 70. Some facets showed different curves from the factor they define. Birth cohort effects were modest, and there were no consistent Gender x Age interactions. Significant nonnormative changes were found for all 5 factors; they were not explained by attrition but might be due to genetic factors, disease, or life experience.
摘要
作者们在巴尔的摩纵向衰老研究数据（N = 1944；5027次评估）中，研究了由修订版大五人格量表评估的5个因素和30个方面的年龄趋势，这些数据收集于1989年至2004年之间。与横断面研究结果一致，分层线性模型分析显示成年期人格逐渐变化：神经质在80岁之前下降，外向性先稳定后下降，开放性下降，宜人性增加，尽责性在70岁之前增加。一些方面呈现出与其所定义因素不同的曲线。出生队列效应较小，且不存在一致的性别×年龄交互作用。在所有5个因素中均发现了显著的非规范性变化；这些变化不能用损耗来解释，可能是由于遗传因素、疾病或生活经历所致。
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