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クロスオーバー要因実験×要因実験×
分野実験計画法実験計画法
系統Process / pipelineProcess / pipeline
提唱年1920s–1960s (synthesis of factorial and crossover traditions)1926–1935
提唱者R. A. Fisher (factorial principles, 1920s); crossover integration developed in biostatistics through mid-20th centuryRonald A. Fisher
種類Experimental designQuantitative experimental design
原典Jones, 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 ↗
別名within-subject factorial design, repeated-measures factorial experiment, factorial crossover trial, crossover factorial trialfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
関連56
概要A 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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ScholarGate手法を比較: Crossover Factorial Experiment · Factorial Experiment. 2026-06-18に以下より取得 https://scholargate.app/ja/compare