方法证据记录
Conditional Process Analysis
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Conditional Process Analysis (Moderated Mediation)
分类方法记录 · regression-model / causal-inference
- Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). The Guilford Press. · ISBN 978-1462534654
- 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
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