Construct · 1 fields · 1 citations

A/B testing: a standalone construct

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Data science

randomly assigning users to versions of a product or page and comparing an outcome metric to estimate the causal effect of a change.

In data science, A/B testing refers to randomly assigning users to versions of a product or page and comparing an outcome metric to estimate the causal effect of a change. This meaning comes from Kohavi (2008) in Data Mining and Knowledge Discovery.[1]

Unit
Recovery means
Measured by

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Nearby constructs

causation6 fields · 15 citationsjingle · one name, six constructs knowledge6 fields · 12 citationsjingle · one name, six constructs metric4 fields · 4 citationsjingle · one word, four constructs

References

Kohavi, R., Longbotham, R., Sommerfield, D., & Henne, R. M. (2008). Controlled experiments on the web: survey and practical guide. Data Mining and Knowledge Discovery, 18(1), 140-181. https://doi.org/10.1007/s10618-008-0114-1

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