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Modelovanie štruktúrnymi rovnicami (SEM)×Analýza mediácie×
OdborŠtatistikaŠtatistika
RodinaLatent structureHypothesis test
Rok vzniku19701986
TvorcaKarl Jöreskog (LISREL framework, 1970s)Baron & Kenny
TypLatent variable / causal modelingIndirect effects / path test
Pôvodný zdrojHair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540Baron, 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 ↗
Ďalšie názvyYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modelingindirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS)
Príbuzné55
ZhrnutieStructural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.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.
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ScholarGatePorovnať metódy: SEM · Mediation Analysis. Získané 2026-06-17 z https://scholargate.app/sk/compare