On Measuring and Modeling Physiological Synchrony in Dyads
On Measuring and Modeling Physiological Synchrony in Dyads
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DOI：
10.1080/00273171.2018.1459292
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发表时间：
2018-01-01
影响因子：
3.8
通讯作者：
Hastings, Paul D.
中科院分区：
文献类型：
--
作者：
Helm, Jonathan L.;Miller, Jonas G.;Hastings, Paul D.
二分体内的生理同步性，或两个个体的生理系统之间的时间对应程度，已成为心理学研究的焦点领域。已经使用多种方法来测量和建模生理同步。每种方法提取并分析不同类型的生理同步，其中“类型”指的是两种不同生理信号可以相关的特定方式。然而，据我们所知，没有关于不同方法的文献，每种方法如何对应于特定类型的同步，以及每种方法中嵌入的统计假设。因此，本文概述了几种测量和建模生理同步的方法，将每种类型的同步与特定的方法联系起来，并确定了每种方法需要满足的假设，以适当地提取每种类型的同步。此外，本文还演示了如何通过包含二元水平（即，时不变）协变量。最后，我们补充每种方法的实证演示，以及在线补充材料，其中包含Mplus代码。
Physiological synchrony within a dyad, or the degree of temporal correspondence between two individuals' physiological systems, has become a focal area of psychological research. Multiple methods have been used for measuring and modeling physiological synchrony. Each method extracts and analyzes different types of physiological synchrony, where type' refers to a specific manner through which two different physiological signals may correlate. Yet, to our knowledge, there is no documentation of the different methods, how each method corresponds to a specific type of synchrony, and the statistical assumptions embedded within each method. Hence, this article outlines several approaches for measuring and modeling physiological synchrony, connects each type of synchrony to a specific method, and identifies the assumptions that need to be satisfied for each method to appropriately extract each type of synchrony. Furthermore, this article demonstrates how to test for between-dyad differences of synchrony via inclusion of dyad-level (i.e., time-invariant) covariates. Finally, we complement each method with an empirical demonstration, as well as online supplemental material that contains Mplus code.