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对偶数据的常见命运模型:一个理论上重要但未被充分利用的模型的变化。

The common fate model for dyadic data: variations of a theoretically important but underutilized model.

机构信息

Department of Psychology, University of Basel, Basel, Switzerland.

出版信息

J Fam Psychol. 2012 Feb;26(1):140-8. doi: 10.1037/a0026624. Epub 2011 Dec 26.

Abstract

Studying dyads, very often there is a theoretical construct that has an effect on both members, such as relationship harmony or shared environment. To model such influences, the common fate model (CFM) is often the most appropriate approach. In this article, we address conceptual and statistical issues in the use of the standard CFM and present a series of variations, all of which are estimated by structural equation modeling (SEM). For indistinguishable dyad members (e.g., gay couples), we describe the use of a multilevel SEM method. Throughout the paper, we draw connections to the actor-partner interdependence model (APIM). We also discuss the analysis of hybrid models that combines both the CFM and the APIM. The models are illustrated using data from heterosexual couples.

摘要

研究对偶个体时,通常会有一个理论结构对两者都有影响,例如关系和谐或共享环境。为了模拟这种影响,常见的命运模型(CFM)通常是最合适的方法。在本文中,我们将讨论使用标准 CFM 时的概念和统计问题,并提出一系列变体,所有变体均通过结构方程建模(SEM)进行估计。对于不可区分的对偶个体(例如,同性恋伴侣),我们描述了使用多层 SEM 方法的情况。在整篇文章中,我们将与演员-伙伴相互依存模型(APIM)建立联系。我们还讨论了混合模型的分析,该模型结合了 CFM 和 APIM。使用异性恋夫妇的数据来说明这些模型。

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