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Дизайн эксперимента с двойным слепым контролем×Факторный эксперимент×
ОбластьПланирование экспериментаПланирование эксперимента
СемействоProcess / pipelineProcess / pipeline
Год появления1930s–1950s (formalized in clinical trial methodology)1926–1935
Автор методаR. A. Fisher (experimental control foundations); blinding practices evolved in clinical research through the 20th centuryRonald A. Fisher
ТипExperimental research designQuantitative experimental design
Основополагающий источникFisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Другие названияdouble-blind controlled experiment, DB-CG design, double-masked controlled trial, double-blind controlled studyfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Связанные56
СводкаA double-blind control group experimental design is a rigorous experimental structure in which participants are randomly assigned to at least one treatment group and one control group, while both the participants and the researchers collecting or assessing outcomes are kept unaware of group assignment. By combining allocation concealment with blinding at two levels, the design minimizes expectancy bias, placebo effects, and assessor bias simultaneously, making it a cornerstone of high-quality intervention research in medicine, psychology, and the social sciences.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.
ScholarGateНабор данных
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ScholarGateСравнение методов: Double-blind Control Group Experimental Design · Factorial Experiment. Получено 2026-06-19 из https://scholargate.app/ru/compare