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Πείραμα παραγοντικού σχεδιασμού με διασταύρωση×Πειραματικός Σχεδιασμός Παραγόντων×
ΠεδίοΠειραματικός ΣχεδιασμόςΠειραματικός Σχεδιασμός
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης1920s–1960s (synthesis of factorial and crossover traditions)1926–1935
ΔημιουργόςR. A. Fisher (factorial principles, 1920s); crossover integration developed in biostatistics through mid-20th centuryRonald A. Fisher
ΤύποςExperimental designQuantitative experimental design
Θεμελιώδης πηγήJones, 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 ↗
Εναλλακτικές ονομασίεςwithin-subject factorial design, repeated-measures factorial experiment, factorial crossover trial, crossover factorial trialfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Συναφείς56
ΣύνοψηA 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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ScholarGateΣύγκριση μεθόδων: Crossover Factorial Experiment · Factorial Experiment. Ανακτήθηκε στις 2026-06-18 από https://scholargate.app/el/compare