The dyad is an important unit of human interaction found in many settings in life. Research on interpersonal relationships and outcomes that relies on measuring each member of a dyad on putative causes and effects can require complex analyses to illuminate how members of the dyad influence one another. Dyadic mediation analysis is a branch of mediation analysis that focuses on establishing the mechanism(s) by which mutual influence operate. Relying on the similarity between dyadic mediation analysis using structural equation modeling and mediation analysis using ordinary least squares regression, we developed MEDYAD, an easy-to-use computational tool for SPSS and SAS that conducts dyadic mediation analysis with distinguishable dyadic data. MEDYAD implements the Actor-Partner Interdependence Model extended to Mediation (APIMeM) as well as simpler and more complex dyadic mediation models defined by the number of mediators and whether variables in the model are mixed or between-dyad variables. Bootstrapping methods are implemented for inference about indirect effects. Additional features include methods for conducting all possible pairwise comparisons between indirect effects, heteroscedasticity-robust inference, and saving bootstrap estimates of mediation parameters for further analysis.

中文翻译：

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使用可区分的二元数据进行简单的统计调解分析

二元组是生活中许多环境中人类互动的重要单位。人际关系和结果的研究依赖于根据推定的因果关系衡量一个二元组的每个成员，可能需要复杂的分析来阐明二元组的成员如何相互影响。二元中介分析是中介分析的一个分支，侧重于建立相互影响的运作机制。基于使用结构方程建模的二元中介分析与使用普通最小二乘回归的中介分析之间的相似性，我们开发了 MEDYAD，这是一种易于使用的 SPSS 和 SAS 计算工具，可使用可区分的二元数据进行二元中介分析。MEDYAD 实现了扩展到中介 (APIMeM) 的 Actor-Partner Interdependence Model 以及更简单和更复杂的二元中介模型，这些模型由中介者的数量以及模型中的变量是混合变量还是二元变量之间定义。实施引导方法以推断间接影响。其他功能包括在间接影响之间进行所有可能的成对比较的方法、异方差稳健推理，以及保存中介参数的引导估计以供进一步分析。