Comparer des méthodes

	Conception expérimentale factorielle avec pré-test et post-test	Expérience factorielle
Domaine	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Process / pipeline
Année d'origine	1963 (canonical formalization)	1926–1935
Auteur d'origine	Codified by Donald T. Campbell and Julian C. Stanley	Ronald A. Fisher
Type	True experimental design	Quantitative experimental design
Source fondatrice	Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally.	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Alias	factorial pre-post design, factorial repeated-measures pretest-posttest design, multi-factor pretest-posttest design, FPPD	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Apparentées	6	6
Résumé	A factorial pretest-posttest experimental design combines the simultaneous manipulation of two or more independent variables (factors) with measurement of the dependent variable both before and after treatment. This structure allows researchers to assess the main effect of each factor, all possible interaction effects between factors, and the magnitude of change from pretest to posttest — all within a single, fully randomised experiment.	A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect.