Comparer des méthodes

	Expérimentation factorielle en laboratoire	Analyse de la variance (ANOVA)	Essai contrôlé randomisé (ECR)
Domaine	Plans d'expériences	Statistiques de recherche	Plans d'expériences
Famille	Process / pipeline	Process / pipeline	Hypothesis test
Année d'origine	1926 (Fisher's factorial principle); laboratory application systematized mid-20th century	1925	1948
Auteur d'origine	Ronald A. Fisher	Ronald A. Fisher	James Lind (early precursor, 1747); modern formulation: Austin Bradford Hill & Medical Research Council (1948)
Type	Experimental research design	Method	Interventional comparative study
Source fondatrice	Kirk, R. E. (2013). Experimental Design: Procedures for the Behavioral Sciences (4th ed.). Sage Publications. ISBN: 978-1412974455	Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver and Boyd.	Schulz, K.F., Altman, D.G., Moher, D., for the CONSORT Group (2010). CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomised Trials. BMJ, 340, c332.
Alias	factorial lab experiment, laboratory factorial design, factorial controlled experiment, multi-factor lab study	ANOVA, F-test	RCT, randomised controlled trial, clinical trial, Randomize Kontrollü Çalışma (RCT) Tasarımı
Apparentées	2	4	7
Résumé	A factorial laboratory experiment is a controlled experimental design in which two or more independent variables (factors) are simultaneously manipulated, each at two or more levels, within a laboratory setting. This design allows researchers to estimate both the individual main effect of each factor and the interaction effects between factors — making it one of the most efficient and informative designs in behavioral, psychological, and natural science research.	ANOVA is a parametric statistical method developed by Ronald A. Fisher in 1925 that tests whether means differ significantly across three or more independent groups. By partitioning total variance into between-group and within-group components, ANOVA determines whether observed differences are likely due to treatment effects or random variation, making it fundamental to comparative research across medicine, psychology, agriculture, and engineering.	A randomized controlled trial (RCT) is the gold standard experimental design in clinical and health research, in which participants are randomly allocated to a treatment group or a control group so that the effect of an intervention can be measured with the highest possible degree of internal validity. The modern parallel-group RCT was formalized by Austin Bradford Hill and the Medical Research Council in their landmark streptomycin trial of 1948, and its reporting is governed today by the CONSORT 2010 guidelines (Schulz et al., 2010).