This tutorial first explains how to calculate indirect effects in mediation analysis for linear regression models. Building on that, it explains how to calculate indirect effects in mediation analysis for data with a binary outcome, namely the logistic regression model. Finally, it uses a dataset to show how you can use the SPSS PROCESS to do mediation analysis for binary output (logistic regression).

▬ Chapters ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
0:00 - How to calculate indirect effect in mediation analysis for linear regression
1:30 - How to calculate indirect effect in mediation analysis for logistic regression
3:01 - Mediation analysis for a binary outcome (logistic regression) in SPSS

▬ Links ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Slides for Mediation Analysis for Binary Outcome (logistic regression) in SPSS:
[ Ссылка ]

SPSS dataset with binary outcome for mediation analysis:
[ Ссылка ]

Reference:
Accommodating binary and count variables in mediation: A case for conditional indirect effects
[ Ссылка ]

Disclaimer:
The accuracy and comprehensiveness of this tutorial are not assured. It is advisable to verify independently or seek advice from professionals. The author of this tutorial bears no responsibility or liability for its accuracy and completeness.

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