Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Mediācijas analīze× | Apstiprinošā faktoru analīze (AFA)× | |
|---|---|---|
| Nozare≠ | Statistika | Psihometrija |
| Saime≠ | Hypothesis test | Latent structure |
| Izcelsmes gads≠ | 1986 | 1969 |
| Autors≠ | Baron & Kenny | Karl Gustav Jöreskog |
| Tips≠ | Indirect effects / path test | Hypothesis-testing latent variable model |
| Pirmavots≠ | 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 ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Citi nosaukumi | indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS) | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Saistītās≠ | 5 | 4 |
| Kopsavilkums≠ | 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. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
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