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| Thử nghiệm A/B theo yếu tố× | Thiết kế AB× | |
|---|---|---|
| Lĩnh vực | Thiết kế thí nghiệm | Thiết kế thí nghiệm |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | Factorial design: 1920s–1930s; applied online as factorial A/B test: 2000s–2010s | 1960s |
| Người khởi xướng≠ | Ronald A. Fisher (factorial design); digital A/B testing popularized by Google, Microsoft, and Amazon in the 2000s | Murray Sidman; Baer, Wolf & Risley |
| Loại≠ | Controlled online/field experiment | Single-subject experimental design |
| Công trình gốc≠ | Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. Cambridge University Press. ISBN: 978-1108724265 | Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology. Basic Books. link ↗ |
| Tên gọi khác≠ | factorial split test, multi-factor A/B test, factorial online experiment, factorial controlled experiment | baseline-intervention design, AB single-case design, AB phase design |
| Liên quan≠ | 6 | 4 |
| Tóm tắt≠ | A factorial A/B test is a controlled online experiment that simultaneously manipulates two or more independent factors, each at two or more levels, exposing different user groups to every combination of factor levels. Rooted in Fisher's factorial design and operationalised at scale by tech companies, it enables researchers to estimate both the independent main effect of each factor and the interaction effects between factors — all from a single experimental run. | The AB design is the simplest single-subject experimental design, consisting of two sequential phases: a baseline phase (A) in which the target behavior is observed under natural conditions without intervention, followed by an intervention phase (B) in which the treatment or manipulation is introduced. Changes in the behavior's level, trend, or variability between phases are used to infer the effect of the intervention on the individual participant. |
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