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Betinget prosessanalyse (moderert mediering)×Instrumentvariabler via totrinns minste kvadraters metode (IV/2SLS)×
FagfeltKausal inferensKausal inferens
FamilieRegression modelRegression model
Opprinnelsesår20182009
OpphavspersonAndrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation)Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)
TypeRegression-based conditional process modelInstrumental-variables regression
Opprinnelig kildeHayes, 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
Aliasmoderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process modelinstrumental variables, IV estimation, 2SLS, instrumental variable regression
Relaterte55
SammendragConditional 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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ScholarGateSammenlign metoder: Conditional Process Analysis · Two-Stage Least Squares (2SLS). Hentet 2026-06-15 fra https://scholargate.app/no/compare