A tutorial on the analysis of experiments using BANOVA.
A tutorial on the analysis of experiments using BANOVA.
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使用 BANOVA 进行实验分析的教程。
DOI：
10.1037/met0000408
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发表时间：
2021
影响因子：
7
通讯作者：
Chen Dong
中科院分区：
文献类型：
--
作者：
M. Wedel;Chen Dong
贝叶斯方法在心理学中越来越多地用于分析实验数据和识别介导实验治疗的机制。本文提供了方差分析（BANOVA）的贝叶斯方法的教程，它为这些分析提供了一个全面而连贯的框架。BAANOVA包括对来自具有正态和非正态因变量的实验设计之间、内部和混合实验设计的数据进行分析，并适应参与者对实验操作的反应中未观察到的个体差异。随附的R包允许使用简单的语法指定各种模型，并可以计算计划比较，简单效应，泛光灯范围，中介中的间接效应，适度中介以及直接和间接效应的效应大小。的方法和软件包说明与应用程序的三个数据集，从以前发表的心理学研究。（PsycInfo数据库记录（c）2021阿帕，保留所有权利）。
Bayesian methods are increasingly used in psychology for analyzing experimental data and for identifying mechanisms that mediate the experimental treatments. This article provides a tutorial on a Bayesian approach to the analysis of variance (BANOVA), which provides a comprehensive and coherent framework for those analyses. BANOVA encompasses the analysis of data from between, within, and mixed experimental designs with normal and non-normal dependent variables and accommodates unobserved individual differences in participants' response to the experimental manipulations. An accompanying R package allows specification of a wide range of models with a simple syntax, and can calculate planned comparisons, simple effects, floodlight ranges, indirect effects in mediation, moderated mediation, and effect sizes of direct and indirect effects. The methodology and package are illustrated with applications to three data sets from previously published studies in psychology. (PsycInfo Database Record (c) 2021 APA, all rights reserved).