Σύγκριση μεθόδων

	Ανάλυση Δορυφορικής Διαδικασίας (Συντονισμένη Διαμεσολάβηση)	Σχεδιασμός Ασυγχώνιστης Παλινδρόμησης (Regression Discontinuity Design - RDD)
Πεδίο	Αιτιακή Συμπερασματολογία	Αιτιακή Συμπερασματολογία
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	2018	2008
Δημιουργός	Andrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation)	Imbens & Lemieux (guide to practice); Cattaneo, Idrobo & Titiunik (practical introduction)
Τύπος	Regression-based conditional process model	Quasi-experimental causal design
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	moderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process model	RDD, regression discontinuity design, sharp RDD, fuzzy RDD
Συναφείς	5	5
Σύνοψη	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.