Comments on the measurement of effect sizes for indirect effects in Bayesian analysis of variance.

IF 7.6 1区心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY

Psychological methods Pub Date : 2024-10-10 DOI:10.1037/met0000706

Sang-June Park,Youjae Yi

引用次数: 0

Abstract

Bayesian analysis of variance (BANOVA), implemented through R packages, offers a Bayesian approach to analyzing experimental data. A tutorial in Psychological Methods extensively documents BANOVA. This note critically examines a method for evaluating mediation using partial eta-squared as an effect size measure within the BANOVA framework. We first identify an error in the formula for partial eta-squared and propose a corrected version. Subsequently, we discuss limitations in the interpretability of this effect size measure, drawing on previous research, and argue for its potential unsuitability in assessing indirect effects in mediation analysis. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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关于贝叶斯方差分析中间接效应效应大小测量的评论。

贝叶斯方差分析（BANOVA）通过 R 软件包实现，为分析实验数据提供了一种贝叶斯方法。心理学方法》（Psychological Methods）一书中的教程广泛介绍了贝叶斯方差分析。本说明批判性地研究了在 BANOVA 框架内使用部分 eta-squared 作为效应大小度量来评估中介作用的方法。我们首先指出了部分等方公式中的一个错误，并提出了一个更正版本。随后，我们借鉴以往的研究，讨论了这种效应大小测量方法在可解释性方面的局限性，并论证了它可能不适合在中介分析中评估间接效应。(PsycInfo Database Record (c) 2024 APA, 版权所有）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Psychological methods PSYCHOLOGY, MULTIDISCIPLINARY-

CiteScore

13.10

自引率

7.10%

发文量

159

期刊介绍： Psychological Methods is devoted to the development and dissemination of methods for collecting, analyzing, understanding, and interpreting psychological data. Its purpose is the dissemination of innovations in research design, measurement, methodology, and quantitative and qualitative analysis to the psychological community; its further purpose is to promote effective communication about related substantive and methodological issues. The audience is expected to be diverse and to include those who develop new procedures, those who are responsible for undergraduate and graduate training in design, measurement, and statistics, as well as those who employ those procedures in research.