Behaviour Genetic Frameworks of Causal Reasoning for Personality Psychology
Behaviour Genetic Frameworks of Causal Reasoning for Personality Psychology
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DOI：
10.1002/per.2153
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发表时间：
2018-05-01
影响因子：
5.9
通讯作者：
Derringer, Jaime
中科院分区：
文献类型：
--
作者：
Briley, Daniel A.;Livengood, Jonathan;Derringer, Jaime
从相关数据中识别因果关系是人格心理学的一个基本挑战。在大多数情况下，随机分配是不可行的，留下观察性研究作为主要的方法学工具。在这里，我们从行为遗传学中记录了几种试图证明因果关系的技术。虽然没有一种方法可以排除所有可能的混淆，但结合技术可以对因果关系进行三角测量。行为遗传工具利用通过对具有假定遗传和环境相关性的个体对进行采样或通过测量不相关个体中的遗传变异所获得的信息。这些设计可以找到与因果关系一致的证据，同时对常见的混淆提供强有力的控制。最后，我们讨论了几个潜在的问题，可能会限制这些技术的效用时，适用于人格。最终，遗传信息设计可以帮助从相关研究中得出因果关系的结论。版权所有（c）2018欧洲人格心理学协会
Identifying causal relations from correlational data is a fundamental challenge in personality psychology. In most cases, random assignment is not feasible, leaving observational studies as the primary methodological tool. Here, we document several techniques from behaviour genetics that attempt to demonstrate causality. Although no one method is conclusive at ruling out all possible confounds, combining techniques can triangulate on causal relations. Behaviour genetic tools leverage information gained by sampling pairs of individuals with assumed genetic and environmental relatedness or by measuring genetic variants in unrelated individuals. These designs can find evidence consistent with causality, while simultaneously providing strong controls against common confounds. We conclude by discussing several potential problems that may limit the utility of these techniques when applied to personality. Ultimately, genetically informative designs can aid in drawing causal conclusions from correlational studies. Copyright (c) 2018 European Association of Personality Psychology