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Factorial A/B Test×Πλήρης Παραγοντικός Πειραματισμός×
ΠεδίοΠειραματικός ΣχεδιασμόςΠειραματικός Σχεδιασμός
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσηςFactorial design: 1920s–1930s; applied online as factorial A/B test: 2000s–2010s1926 (Fisher's foundational paper); codified by the 1950s–1960s
ΔημιουργόςRonald A. Fisher (factorial design); digital A/B testing popularized by Google, Microsoft, and Amazon in the 2000sRonald A. Fisher
ΤύποςControlled online/field experimentExperimental design
Θεμελιώδης πηγήKohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. Cambridge University Press. ISBN: 978-1108724265Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Εναλλακτικές ονομασίεςfactorial split test, multi-factor A/B test, factorial online experiment, factorial controlled experimentfull factorial design, complete factorial design, 2^k factorial design, FFD
Συναφείς66
ΣύνοψηA 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.A full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome.
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ScholarGateΣύγκριση μεθόδων: Factorial A/B Test · Full Factorial Experiment. Ανακτήθηκε στις 2026-06-18 από https://scholargate.app/el/compare