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| 경로 분석(Path Analysis)× | 조절된 매개 분석× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1921 | 2007 |
| 창시자≠ | Sewall Wright | Preacher, Rucker & Hayes |
| 유형≠ | Causal / mediation model | Conditional process model |
| 원전≠ | Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7), 557–585. link ↗ | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654 |
| 별칭 | PA, path coefficient analysis, observed-variable SEM, causal path modeling | conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation |
| 관련≠ | 5 | 4 |
| 요약≠ | Path analysis tests a researcher-specified causal diagram among observed variables by decomposing their intercorrelations into direct effects, indirect (mediated) effects, and spurious associations. Developed by Sewall Wright in 1921, it is the observed-variable special case of structural equation modeling and remains a standard tool for theory-driven multivariate causal inference. | 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? |
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