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Podmíněná analýza procesů (moderovaná mediace)×Instrumentální proměnné pomocí dvoufázové metody nejmenších čtverců (IV/2SLS)×
OborKauzální inferenceKauzální inference
RodinaRegression modelRegression model
Rok vzniku20182009
TvůrceAndrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation)Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)
TypRegression-based conditional process modelInstrumental-variables regression
Původní zdrojHayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). The Guilford Press. ISBN: 978-1462534654Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Další názvymoderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process modelinstrumental variables, IV estimation, 2SLS, instrumental variable regression
Příbuzné55
ShrnutíConditional 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.IV/2SLS is a two-stage estimation method that recovers the causal effect of an endogenous regressor by isolating the part of its variation driven by an external instrument. It is the workhorse identification strategy in modern applied econometrics, developed at length in Angrist and Pischke's Mostly Harmless Econometrics (2009).
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ScholarGatePorovnat metody: Conditional Process Analysis · Two-Stage Least Squares (2SLS). Získáno 2026-06-15 z https://scholargate.app/cs/compare