Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Mnohonásobná regresní analýza× | Modelování strukturálních rovnic× | |
|---|---|---|
| Obor | Statistika ve výzkumu | Statistika ve výzkumu |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1801 | 1921 |
| Tvůrce≠ | Carl Friedrich Gauss | Sewall Wright |
| Typ | Method | Method |
| Původní zdroj≠ | Draper, N. R., & Smith, H. (1966). Applied Regression Analysis. John Wiley & Sons. link ↗ | 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 ↗ |
| Další názvy≠ | MLR, multivariate regression, linear regression | SEM, path analysis, latent variable modeling, causal modeling |
| Příbuzné≠ | 4 | 3 |
| Shrnutí≠ | Multiple regression analysis is a statistical method for modeling the relationship between a continuous dependent variable and two or more independent variables (predictors). Originating from Gauss's early 19th-century work and formalized by Draper and Smith (1966), it estimates linear equations predicting outcomes from multiple predictors while accounting for confounding relationships, making it indispensable in epidemiology, economics, psychology, and clinical research. | 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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