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An Introduction and Illustration of Bayesian Modeling in Couple and Family Therapy Research
Author(s) -
Johnson Lee N.,
Baldwin Scott A.
Publication year - 2020
Publication title -
journal of marital and family therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.868
H-Index - 68
eISSN - 1752-0606
pISSN - 0194-472X
DOI - 10.1111/jmft.12461
Subject(s) - bayesian probability , bayesian inference , interpretation (philosophy) , bayesian statistics , computer science , psychology , family therapy , quality (philosophy) , bayesian network , artificial intelligence , psychotherapist , epistemology , philosophy , programming language
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.