Bayesian modeling is becoming increasing popular as a method for data analyses in the social sciences and can move couple, marriage, and family therapy (C/MFT) research forward. Bayesian modeling helps researchers better understand the uncertainty of findings and incorporate previous research into analyses. Other benefits of Bayesian modeling are the straightforward interpretation of findings, high‐quality inferences even with small samples (in combination with an informative prior), and the ability to work with complex data structures (observations nested in relationships and time points) which are common in C/MFT research. This article introduces the benefits of Bayesian modeling and provides an example of an Actor–Partner Interdependence Model using R. Information on how to conduct the same analyses using Stata and MPlus is provided in the Supplemental Information.

中文翻译：

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贝叶斯模型在夫妻和家庭治疗研究中的介绍和说明

贝叶斯建模作为一种社会科学中的数据分析方法正变得越来越流行，并且可以推动夫妻、婚姻和家庭治疗 (C/MFT) 研究向前发展。贝叶斯建模可帮助研究人员更好地了解发现的不确定性，并将先前的研究纳入分析。贝叶斯建模的其他好处是对发现的直接解释、即使是小样本的高质量推断（结合信息丰富的先验），以及处理复杂数据结构（嵌套在关系和时间点中的观察）的能力，这些都是常见的在 C/MFT 研究中。本文介绍了贝叶斯建模的好处，并提供了一个使用 R 的参与者-合作伙伴相互依赖模型的示例。