ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

二重盲検A/Bテスト×要因実験×
分野実験計画法実験計画法
系統Process / pipelineProcess / pipeline
提唱年1935 (Fisher's formal randomized design); double-blinding in A/B testing: 1990s–2000s1926–1935
提唱者Evolved from clinical trial methodology; early systematic blinding attributed to James Lind (1753) and formalized by R. A. Fisher (1935)Ronald A. Fisher
種類Randomized controlled experiment with blindingQuantitative experimental design
原典Schulz, 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 ↗
別名double-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
関連56
概要A 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.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Double-blind A/B test · Factorial Experiment. 2026-06-18に以下より取得 https://scholargate.app/ja/compare