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Faktoriális kísérleti elrendezés kereszteződéssel×Faktoriális kísérlet×
TudományterületKísérlettervezésKísérlettervezés
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve1920s–1960s (synthesis of factorial and crossover traditions)1926–1935
MegalkotóR. A. Fisher (factorial principles, 1920s); crossover integration developed in biostatistics through mid-20th centuryRonald A. Fisher
TípusExperimental designQuantitative experimental design
AlapműJones, B., & Kenward, M. G. (2014). Design and Analysis of Cross-Over Trials (3rd ed.). Chapman and Hall/CRC. ISBN: 978-1439861424Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Alternatív nevekwithin-subject factorial design, repeated-measures factorial experiment, factorial crossover trial, crossover factorial trialfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Kapcsolódó56
ÖsszefoglalóA crossover factorial experiment combines two powerful design principles: factorial structure, which studies multiple factors and their interactions simultaneously, and crossover structure, in which each participant receives more than one treatment combination across sequential periods. By serving as their own control, participants reduce between-subject variability, improving statistical power while also revealing how different factor levels interact within the same individual.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.
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ScholarGateMódszerek összehasonlítása: Crossover Factorial Experiment · Factorial Experiment. Letöltve 2026-06-18, forrás: https://scholargate.app/hu/compare