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 de la Covariància (ANCOVA)× | |
|---|---|---|
| Camp | Estadística | Estadística |
| Família | Hypothesis test | Hypothesis test |
| Any d'origen≠ | 1925 | 1932 |
| Autor original | Ronald A. Fisher | Ronald A. Fisher |
| Tipus≠ | Parametric factorial mean comparison | Parametric group comparison with covariate control |
| 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 | analysis of covariance, covariance analysis, ANCOVA (Kovaryans Analizi) |
| Relacionats≠ | 6 | 4 |
| 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. | ANCOVA is a parametric hypothesis test that compares the adjusted means of two or more independent groups while statistically controlling for one or more continuous covariates. By removing the portion of outcome variance explained by the covariate, ANCOVA increases statistical precision and produces fairer group comparisons. The method builds on the general linear model framework consolidated by Fisher in the early 1930s and is described comprehensively by Tabachnick and Fidell (2013). |
| ScholarGateConjunt de dades ↗ |
|
|