Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Двоен сляп A/B тест× | Факторен експеримент× | |
|---|---|---|
| Област | Планиране на експеримента | Планиране на експеримента |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1935 (Fisher's formal randomized design); double-blinding in A/B testing: 1990s–2000s | 1926–1935 |
| Създател≠ | Evolved from clinical trial methodology; early systematic blinding attributed to James Lind (1753) and formalized by R. A. Fisher (1935) | Ronald A. Fisher |
| Тип≠ | Randomized controlled experiment with blinding | Quantitative experimental design |
| Основополагащ източник≠ | 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 ↗ |
| Други названия | double-blind split test, double-blinded A/B experiment, blinded two-arm randomized experiment, double-blind controlled A/B trial | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| Свързани≠ | 5 | 6 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
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