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Двойной слепой A/B-тест×Факторный эксперимент×
ОбластьПланирование экспериментаПланирование эксперимента
СемействоProcess / pipelineProcess / pipeline
Год появления1935 (Fisher's formal randomized design); double-blinding in A/B testing: 1990s–2000s1926–1935
Автор методаEvolved from clinical trial methodology; early systematic blinding attributed to James Lind (1753) and formalized by R. A. Fisher (1935)Ronald A. Fisher
ТипRandomized controlled experiment with blindingQuantitative experimental design
Основополагающий источникSchulz, K. F., Altman, D. G., & Moher, D. (2010). CONSORT 2010 Statement: Updated guidelines for reporting parallel group randomised trials. BMJ, 340, c332. DOI ↗Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Другие названияdouble-blind split test, double-blinded A/B experiment, blinded two-arm randomized experiment, double-blind controlled A/B trialfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Связанные56
СводкаA double-blind A/B test is a randomized experiment that compares two variants — a control (A) and a treatment (B) — while concealing group assignment from both participants and those administering or assessing the experiment. Combining the causal isolation of randomized assignment with blinding on both sides eliminates expectation-driven bias from participants and evaluator bias from analysts or administrators, producing cleaner causal estimates of treatment effect.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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  2. 2 Источники
  3. PUBLISHED
  1. v1
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ScholarGateСравнение методов: Double-blind A/B test · Factorial Experiment. Получено 2026-06-18 из https://scholargate.app/ru/compare