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| 베이지안 조절된 매개× | 구조방정식 모형× | |
|---|---|---|
| 분야≠ | 통계학 | 연구 통계 |
| 계열≠ | Latent structure | Process / pipeline |
| 기원 연도≠ | 2009–2013 | 1921 |
| 창시자≠ | Yuan & MacKinnon (Bayesian mediation); Hayes (conditional process framework) | Sewall Wright |
| 유형≠ | Conditional indirect effect model | Method |
| 원전≠ | Yuan, Y. & MacKinnon, D. P. (2009). Bayesian mediation analysis. Psychological Methods, 14(4), 301–322. DOI ↗ | Jöreskog, K. G., & Sörbom, D. (1973). LISREL: A general computer program for estimating a linear structural equation system. Research Bulletin 73-5. University of Stockholm. link ↗ |
| 별칭 | Bayesian conditional process analysis, Bayesian mediated moderation, Bayesian PROCESS model, Bayesian conditional indirect effect | SEM, path analysis, latent variable modeling, causal modeling |
| 관련≠ | 4 | 3 |
| 요약≠ | Bayesian moderated mediation estimates how a mediator transmits the effect of a predictor onto an outcome, and whether that indirect effect varies in size depending on a moderator variable — all within a Bayesian framework that quantifies uncertainty via posterior distributions rather than p-values and confidence intervals. | Structural equation modeling (SEM) is a comprehensive statistical framework combining path analysis (Sewall Wright, 1921) and confirmatory factor analysis to test complex causal models linking observed and latent variables. Formalized by Jöreskog (1973) with LISREL software, SEM enables simultaneous estimation of measurement relationships (how variables measure latent constructs) and structural relationships (how constructs influence outcomes), making it powerful for theory testing in psychology, epidemiology, organizational research, and health sciences where complex mediation, moderation, and latent processes require integrated analysis. |
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