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Factorial A/B Test

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.

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Factorial A/B Test (Multi-Factor Online Experiment)

Taxonomisk metodpost · process-pipeline / experimental-design

Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. Cambridge University Press. · ISBN 978-1108724265
Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119113478

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Taxonomic bucketAB Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketAdaptive A/B testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFactorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFractional Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFull Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-arm experimentmachine-suggested · Relational suggestion, not evidence.