Comparer des méthodes

	ANOVA par Transformation de Rang Aligné (ART-ANOVA)	Analyse de variance à deux facteurs (ANOVA à deux facteurs)
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	2011	1925
Auteur d'origine	Wobbrock, Findlater, Gergle & Higgins	Ronald A. Fisher
Type	Nonparametric factorial hypothesis test	Parametric factorial mean comparison
Source fondatrice	Wobbrock, J. O., Findlater, L., Gergle, D., & Higgins, J. J. (2011). The aligned rank transform for nonparametric factorial analyses using only ANOVA procedures. Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI 2011), 143–146.	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
Alias	ART-ANOVA, aligned ranks ANOVA, nonparametric factorial ANOVA, Hizalanmış Sıra Dönüşümü ANOVA (ART-ANOVA)	factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA
Apparentées	7	6
Résumé	The Aligned Rank Transform ANOVA (ART-ANOVA) is a nonparametric factorial hypothesis test that detects main effects and interactions in designs with two or more independent variables, without requiring normality. The procedure was formalized by Wobbrock, Findlater, Gergle, and Higgins in their 2011 CHI paper and operates by separately aligning each effect before ranking, so that standard ANOVA machinery can be applied to nonparametric data.	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.