Regression model

Conditional Process Analysis (Moderated Mediation)

Conditional process analysis is Andrew F. Hayes's regression-based PROCESS framework (2018) that combines mediation and moderation in a single model, testing how an indirect effect changes across levels of a moderator. It quantifies conditional indirect and conditional direct effects and tests them with bootstrap confidence intervals.

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Sources

  1. Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). The Guilford Press. ISBN: 978-1462534654
  2. Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions. Multivariate Behavioral Research, 42(1), 185-227. DOI: 10.1080/00273170701341316

Related methods

Referenced by

ScholarGateConditional Process Analysis (Conditional Process Analysis (Moderated Mediation)). Retrieved 2026-06-04 from https://scholargate.app/tr/causal-inference/conditional-process-analysis