Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Anàlisi de la variància a dues vies (ANOVA a dues vies)× | Anàlisi Multivariant de la Variància (MANOVA)× | |
|---|---|---|
| Camp | Estadística | Estadística |
| Família | Hypothesis test | Hypothesis test |
| Any d'origen≠ | 1925 | 1932 |
| Autor original≠ | Ronald A. Fisher | Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.) |
| Tipus≠ | Parametric factorial mean comparison | Parametric multivariate mean comparison |
| Font seminal≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574 |
| Àlies≠ | factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA | Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA) |
| Relacionats≠ | 6 | 5 |
| Resum≠ | Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors. | MANOVA is a parametric hypothesis test that simultaneously compares group means across multiple continuous dependent variables, controlling the inflation of Type I error that would result from running separate ANOVAs. Key multivariate test statistics — Wilks' Lambda, Pillai's Trace, Hotelling-Lawley Trace, and Roy's Greatest Root — were developed between the 1930s and 1950s, with Wilks' Lambda formalised by Samuel Stanley Wilks in 1932. |
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