Salīdzināt metodes

	Robustas moderētās mediācijas analīze	Analīze ar moderētu mediāciju
Nozare	Statistika	Statistika
Saime	Latent structure	Latent structure
Izcelsmes gads	2007–2013	2007
Autors	Hayes, A. F.; building on Preacher, Rucker & Hayes (2007) for moderated mediation and robust bootstrap inference	Preacher, Rucker & Hayes
Tips	Conditional indirect effect model with robust inference	Conditional process model
Pirmavots	Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (3rd ed.). Guilford Press. ISBN: 978-1462549030	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654
Citi nosaukumi	robust conditional process analysis, robust mediated moderation, robust moderated indirect effects, robust conditional indirect effects	conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation
Saistītās	5	4
Kopsavilkums	Robust moderated mediation tests whether the indirect effect of X on Y through a mediator M varies as a function of a moderator W, while using robust estimation (percentile or bias-corrected bootstrap, heteroscedasticity-consistent standard errors, or M-estimation) to protect inference against non-normality, outliers, and heteroscedasticity in the data.	Moderated mediation tests whether the indirect effect of an independent variable on an outcome — transmitted through a mediator — differs in strength depending on the level of a moderator variable. It answers the question: for whom, or under what conditions, does the mediated pathway operate most strongly?