مقایسهٔ روشها
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| تحلیل تعدیلشده میانجیگری قوی× | تحلیل مسیر استوار (Robust Path Analysis)× | |
|---|---|---|
| حوزه | آمار | آمار |
| خانواده | Latent structure | Latent structure |
| سال پیدایش≠ | 2007–2013 | 1998 |
| پدیدآور≠ | Hayes, A. F.; building on Preacher, Rucker & Hayes (2007) for moderated mediation and robust bootstrap inference | Yuan & Bentler (robust SEM/path framework); Huber (M-estimation foundation) |
| نوع≠ | Conditional indirect effect model with robust inference | Causal path modeling with robust estimation |
| منبع بنیادین≠ | Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (3rd ed.). Guilford Press. ISBN: 978-1462549030 | Yuan, K.-H. & Bentler, P. M. (1998). Robust mean and covariance structure analysis. British Journal of Mathematical and Statistical Psychology, 51(1), 63–88. DOI ↗ |
| نامهای دیگر | robust conditional process analysis, robust mediated moderation, robust moderated indirect effects, robust conditional indirect effects | robust PA, path analysis with robust standard errors, robust causal path modeling, robust structural path modeling |
| مرتبط≠ | 5 | 6 |
| خلاصه≠ | 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. | Robust path analysis applies robust estimation — such as sandwich standard errors or M-estimation — to path models that specify directed causal relationships among observed variables. It preserves valid inference about path coefficients and indirect effects when data violate normality, contain outliers, or exhibit heteroscedasticity that would distort conventional standard errors. |
| ScholarGateمجموعهداده ↗ |
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