Linganisha mbinu

	Uchambuzi wa Mchakato Wenye Masharti (Mediation yenye Moderation)	Muundo wa Kukatizwa kwa Regressheni (RDD)
Nyanja	Uhitimisho wa Kisababishi	Uhitimisho wa Kisababishi
Familia	Regression model	Regression model
Mwaka wa asili	2018	2008
Mwanzilishi	Andrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation)	Imbens & Lemieux (guide to practice); Cattaneo, Idrobo & Titiunik (practical introduction)
Aina	Regression-based conditional process model	Quasi-experimental causal design
Chanzo asilia	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). The Guilford Press. ISBN: 978-1462534654	Imbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635.
Majina mbadala	moderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process model	RDD, regression discontinuity design, sharp RDD, fuzzy RDD
Zinazohusiana	5	5
Muhtasari	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.	Regression Discontinuity Design is a quasi-experimental method that identifies a causal effect by locally comparing units just above and just below a cutoff on a continuous assignment (running) variable. Formalised for applied work by Imbens and Lemieux (2008) and developed as a practical framework by Cattaneo, Idrobo, and Titiunik (2020), it estimates a local average treatment effect (LATE) at the threshold.