Confounding

Confounding - Factor or interaction effects are said to be confounded when the effect of one factor is combined with that of another. In other words, the effects of multiple factors on a response can not be separated. This occurs to some degree in all situations, and least frequently when the data is obtained from a carefully planned and executed experiment having a predefined objective.

[Category=Data Quality ]

Source: iSixSigma, 08 January 2011 08:08:17, https:web.archive.org/web/20111109014246/http:www.isixsigma.com/index.php?option=com_glossary

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Confounding - allowing two or more variables to vary together so that it is impossible to separate their unique effects. If an experiment does not vary x and y separately then the effects of the two factors cannot be distinguished. Blocking may be used to separate these effects where one is expected to be a critical X and one appears to be noise. The main effects and interactions can be confounded in order to reduce the number of runs in a fractional factorial design of experiments.

[Category=Quality ]

Source: The Quality Portal, 03 April 2011 08:55:28, http://thequalityportal.com/glossary/b.htm