পদ্ধতির তুলনা করুন

	ফ্যাক্টোরিয়াল A/B টেস্ট	এবি ডিজাইন
ক্ষেত্র	পরীক্ষামূলক নকশা	পরীক্ষামূলক নকশা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	Factorial design: 1920s–1930s; applied online as factorial A/B test: 2000s–2010s	1960s
প্রবর্তক	Ronald A. Fisher (factorial design); digital A/B testing popularized by Google, Microsoft, and Amazon in the 2000s	Murray Sidman; Baer, Wolf & Risley
ধরন	Controlled online/field experiment	Single-subject experimental design
মৌলিক উৎস	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.
অপর নাম	factorial split test, multi-factor A/B test, factorial online experiment, factorial controlled experiment	baseline-intervention design, AB single-case design, AB phase design
সম্পর্কিত	6	4
সারসংক্ষেপ	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.