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| Analisi della Varianza a una Via× | Modellazione di equazioni strutturali (SEM)× | |
|---|---|---|
| Campo | Statistica | Statistica |
| Famiglia≠ | Hypothesis test | Latent structure |
| Anno di origine≠ | 1925 | 1970 |
| Ideatore≠ | Ronald A. Fisher | Karl Jöreskog (LISREL framework, 1970s) |
| Tipo≠ | Parametric mean comparison | Latent variable / causal modeling |
| Fonte seminale≠ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ | Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540 |
| Alias | 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 |
| Correlati≠ | 4 | 5 |
| Sintesi≠ | 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. |
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