Environmental Influences on Well-Being: A Dyadic Latent Panel Analysis of Spousal Similarity
Environmental Influences on Well-Being: A Dyadic Latent Panel Analysis of Spousal Similarity
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DOI：
10.1007/s11205-009-9516-8
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发表时间：
2010-08-01
影响因子：
3.1
通讯作者：
Lucas, Richard E.
中科院分区：
文献类型：
--
作者：
Schimmack, Ulrich;Lucas, Richard E.
本文使用二元潜在面板分析（DLPA）来检验环境对幸福感的影响。DLPA需要纵向双矢数据。它将观察到的二分体中两个成员的方差分解为特征、状态和误差分量。将状态方差分解为初始状态方差和新状态方差。将双元组成员间观察到的总相似度分解为特征相似度、初始状态相似度、新状态相似度和误差相似度。新状态方差中的双元相似性表明，双元的两个成员都向同一方向变化，这是环境影响的一个强有力的指示。DLPA被用来检验环境对生活满意度和领域满意度的影响，基于德国社会经济小组研究（N's = 607-740）中22对已婚夫妇的年度评估。结果显示，生活满意度与客观上相同的领域（家庭收入、住房）的新状态方差高度相似，客观上不太相似的领域（娱乐、健康）的新状态方差相似性较低。这一发现为环境对幸福感的影响提供了强有力的证据。此外，结果显示出较高的性状相似性。后一发现的含义解释行为遗传学研究的福祉进行了讨论。
This article uses dyadic latent panel analysis (DLPA) to examine environmental influences on well-being. DLPA requires longitudinal dyadic data. It decomposes the observed variance of both members of a dyad into a trait, state, and an error component. Furthermore, state variance is decomposed into initial and new state variance. Total observed similarity between members of a dyad is decomposed into trait similarity, initial state similarity, new state similarity, and error similarity. Dyadic similarity in new state variance reveals that both members of a dyad change in the same direction, which is a strong indication of environmental effects. DLPA is used to examine environmental influences on life satisfaction and domain satisfaction based on 22 annual assessments of married couples in the German Socio-Economic Panel Study (N's = 607-740). The results show high similarity in new state variance for life satisfaction and objectively identical domains (household income, housing), and less similarity for objectively less similar domains (recreation, health). This finding provides strong evidence for environmental influences on well-being. In addition, the results show high trait similarity. The implications of the latter finding for interpretation of behavioral genetics studies of well-being are discussed.