Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Kondicionālās procesa analīze (moderētā mediācija)× | Mediācijas analīze× | |
|---|---|---|
| Nozare≠ | Cēloņsakarību secināšana | Statistika |
| Saime≠ | Regression model | Hypothesis test |
| Izcelsmes gads≠ | 2018 | 1986 |
| Autors≠ | Andrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation) | Baron & Kenny |
| Tips≠ | Regression-based conditional process model | Indirect effects / path test |
| Pirmavots≠ | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). The Guilford Press. ISBN: 978-1462534654 | 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 ↗ |
| Citi nosaukumi≠ | moderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process model | indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS) |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | Conditional process analysis is Andrew F. Hayes's regression-based PROCESS framework (2018) that combines mediation and moderation in a single model, testing how an indirect effect changes across levels of a moderator. It quantifies conditional indirect and conditional direct effects and tests them with bootstrap confidence intervals. | 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. |
| ScholarGateDatu kopa ↗ |
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