Testing indirect effect with a complete or incomplete dichotomous mediator

IF 1.5 3区心理学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

British Journal of Mathematical & Statistical Psychology Pub Date : 2023-06-26 DOI:10.1111/bmsp.12313

Fan Jia, Wei Wu, Po-Yi Chen

引用次数: 0

Abstract

Past methodological research on mediation analysis mainly focused on situations where all variables were complete and continuous. When issues of categorical data occur combined with missing data, more methodological considerations are involved. Specifically, appropriate decisions need to be made on estimation methods of the indirect effects and on confidence intervals for testing the indirect effects with accommodations of missing data. We compare strategies that address these issues based on a model with a dichotomous mediator, aiming to provide guidelines for researchers facing such challenges in practice.

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用完全或不完全二分介质检验间接效应

过去对中介分析的方法论研究主要集中在所有变量都是完整连续的情况下。当分类数据的问题与缺失数据相结合时，涉及到更多的方法学考虑。具体地说，需要对间接影响的估计方法和通过调整缺失数据来检验间接影响的置信区间作出适当的决定。我们比较了解决这些问题的策略，基于一个具有二分中介的模型，旨在为在实践中面临此类挑战的研究人员提供指导。

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

British Journal of Mathematical & Statistical Psychology 医学-数学跨学科应用

CiteScore

5.00

自引率

3.80%

发文量

审稿时长

>12 weeks

期刊介绍： The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including: • mathematical psychology • statistics • psychometrics • decision making • psychophysics • classification • relevant areas of mathematics, computing and computer software These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists. New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.