Despite widespread acknowledgment that close relationships frequently involve tumultuous and dynamic experiences, most models in relationship psychology focus on linear relationship processes. Modeling nonlinear patterns can, however, be an important way to assess and better understand the complexities inherent in close relationships. In this article, I draw on one of the most widely studied theories in relationship science—attachment theory—to illustrate how modeling nonlinear effects between variables (i.e., curvilinear effects) and nonlinear dynamics across time (i.e., within-person variation and within-dyad flexibility) can reconcile inconsistencies in the literature, reveal unique relationship experiences, and broaden our understanding of complex relationship processes.

中文翻译：

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脱颖而出：密切关系研究中的非线性效应和动力学建模

尽管人们普遍承认亲密关系经常涉及动荡和动态的经历，但关系心理学中的大多数模型都关注线性关系过程。但是，对非线性模式进行建模可能是评估和更好地理解紧密关系中固有的复杂性的重要方法。在本文中，我将借鉴关系科学中研究最广泛的理论之一-依恋理论，以说明如何对变量（即曲线效应）与非线性动力学之间的非线性效应（即人内变异和双向的灵活性）可以调和文献中的矛盾之处，揭示独特的关系经历，并拓宽我们对复杂关系过程的理解。