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| 매개 분석× | 경로 분석(Path Analysis)× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열≠ | Hypothesis test | Latent structure |
| 기원 연도≠ | 1986 | 1921 |
| 창시자≠ | Baron & Kenny | Sewall Wright |
| 유형≠ | Indirect effects / path test | Causal / mediation model |
| 원전≠ | Baron, R. M. & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173–1182. link ↗ | Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7), 557–585. link ↗ |
| 별칭 | indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS) | PA, path coefficient analysis, observed-variable SEM, causal path modeling |
| 관련 | 5 | 5 |
| 요약≠ | Mediation analysis is a statistical procedure that tests whether the effect of an independent variable X on an outcome Y operates wholly or partly through a third variable M, called the mediator. Formalised by Baron and Kenny in 1986, it decomposes the total effect of X on Y into a direct path (c′) and an indirect path (a × b), quantifying how much of the relationship is carried by the mediating mechanism. | 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. |
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