Methoden vergelijken

	One-way Analysis of Variance	Structurele vergelijkingsmodellering (SEM)
Vakgebied	Statistiek	Statistiek
Familie	Hypothesis test	Latent structure
Jaar van ontstaan	1925	1970
Grondlegger	Ronald A. Fisher	Karl Jöreskog (LISREL framework, 1970s)
Type	Parametric mean comparison	Latent variable / causal modeling
Oorspronkelijke bron	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.	Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
Aliassen	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA	Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Verwant	4	5
Samenvatting	One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.	Structural 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.