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Faktorijalni A/B test×AB dizajn×
PodručjeEksperimentalni dizajnEksperimentalni dizajn
ObiteljProcess / pipelineProcess / pipeline
Godina nastankaFactorial design: 1920s–1930s; applied online as factorial A/B test: 2000s–2010s1960s
TvoracRonald A. Fisher (factorial design); digital A/B testing popularized by Google, Microsoft, and Amazon in the 2000sMurray Sidman; Baer, Wolf & Risley
VrstaControlled online/field experimentSingle-subject experimental design
Temeljni izvorKohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. Cambridge University Press. ISBN: 978-1108724265Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology. Basic Books. link ↗
Drugi nazivifactorial split test, multi-factor A/B test, factorial online experiment, factorial controlled experimentbaseline-intervention design, AB single-case design, AB phase design
Srodne64
SažetakA 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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ScholarGateUsporedite metode: Factorial A/B Test · AB Design. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare