Testing indirect effect with a complete or incomplete dichotomous mediator |
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| Authors: | Fan Jia Wei Wu Po-Yi Chen |
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| Affiliation: | 1. Psychological Sciences, University of California, Merced, Merced, California, USA;2. Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, USA;3. National Taiwan Normal University, Taipei City, Taiwan |
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| 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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| Keywords: | bootstrapping confidence interval counterfactual framework dichotomous mediator distribution of product indirect effect latent variable approach logistic regression mediation missing data |
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