University of Kassel.
Ulm University.
J Pers. 2018 Dec;86(6):1037-1049. doi: 10.1111/jopy.12373. Epub 2018 Mar 8.
The goal of this study was to examine age-associated personality differences using a measurement-invariant representation of the higher-order structure of the Five-Factor Model.
We reanalyzed the German NEO-PI-R norm sample (N = 11,724) and applied ant colony optimization in a multigroup confirmatory factor analysis setting in order to select three items per first-order factor that would optimize model fit and measurement invariance across 18 age groups ranging from 16 to 65 years of age.
Ant colony optimization substantially improved absolute and relative model fit under measurement invariance constraints. However, the results showed that even when selecting items, measurement invariance across a large age span could not be guaranteed. Strong measurement invariance for Extraversion and Agreeableness could not be established. The age-associated mean-level differences of the first-order factors of Neuroticism and Conscientiousness supported the maturity hypothesis. The mean levels of the first-order factors of Openness varied substantially from each other across age.
Findings on age differences in personality can be particularly distorted in older age groups. Testing for and ensuring measurement invariance with item selection procedures can help solve this problem. The higher-order structure of personality should be accounted for when personality development is examined.
本研究旨在使用五因素模型高阶结构的测量不变表示来检验与年龄相关的人格差异。
我们重新分析了德国 NEO-PI-R 常模样本(N=11724),并在多群组验证性因素分析环境中应用蚁群优化,以便为 16 至 65 岁的 18 个年龄组中的每个一阶因子选择三个项目,从而在测量不变的情况下优化模型拟合和测量不变性。
蚁群优化极大地提高了测量不变性约束下的绝对和相对模型拟合度。然而,结果表明,即使选择项目,也不能保证在很大的年龄范围内保持测量不变性。无法为外向性和宜人性建立强测量不变性。神经质和尽责性的一阶因子的与年龄相关的平均水平差异支持成熟假设。开放性的一阶因子的平均水平在不同年龄组之间存在显著差异。
人格的年龄差异的发现可能会在年龄较大的年龄组中受到特别的扭曲。通过测试并使用项目选择程序确保测量不变性,可以帮助解决这个问题。在研究人格发展时,应考虑人格的高阶结构。