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.

中文翻译：

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使用完全或不完全二分中介测试间接效应

以往中介分析的方法论研究主要集中在所有变量都是完整且连续的情况。当分类数据问题与缺失数据相结合时，需要考虑更多的方法论因素。具体来说，需要对间接影响的估计方法和在调整缺失数据的情况下测试间接影响的置信区间做出适当的决定。我们比较基于模型和二分调解器解决这些问题的策略，旨在为在实践中面临此类挑战的研究人员提供指导。