McCrae R R, Jang K L, Livesley W J, Riemann R, Angleitner A
Personality, Stress and Coping Section, Gerontology Research Center, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224-6825, USA.
J Pers. 2001 Aug;69(4):511-35. doi: 10.1111/1467-6494.694154.
The phenotypic structure of personality traits has been well described, but it has not yet been explained causally. Behavior genetic covariance analyses can identify the underlying causes of phenotypic structure; previous behavior genetic research has suggested that the effects from both genetic and nonshared environmental influences mirror the phenotype. However, nonshared environmental effects are usually estimated as a residualterm that may also include systematic bias, such as that introduced by implicit personality theory. To reduce that bias, we supplemented data from Canadian and German twin studies with cross-observer correlations on the Revised NEO Personality Inventory. The hypothesized five-factor structure was found in both the phenotypic and genetic/familial covariances. When the residual covariance was decomposed into true nonshared environmental influences and method bias, only the latter showed the five-factor structure. True nonshared environmental influences are not structured as genetic influences are, although there was some suggestion that they do affect two personality dimensions, Conscientiousness and Love. These data reaffirm the value of behavior genetic analyses for research on the underlying causes of personality traits.
人格特质的表型结构已得到充分描述,但尚未得到因果解释。行为遗传学协方差分析可以识别表型结构的潜在原因;先前的行为遗传学研究表明,遗传和非共享环境影响的效应都反映了表型。然而,非共享环境效应通常被估计为一个残差项,它可能还包括系统偏差,比如由内隐人格理论引入的偏差。为了减少这种偏差,我们用修订版大五人格量表的跨观察者相关性补充了加拿大和德国双胞胎研究的数据。在表型以及遗传/家族协方差中都发现了假设的五因素结构。当将残差协方差分解为真正的非共享环境影响和方法偏差时,只有后者呈现出五因素结构。真正的非共享环境影响不像遗传影响那样具有结构,尽管有迹象表明它们确实会影响两个性格维度,即尽责性和宜人性。这些数据再次证明了行为遗传学分析对于研究人格特质潜在原因的价值。