Chi-square automatic interaction detection: Difference between revisions

Revision as of 15:04, 22 September 2009

Revision as of 15:05, 22 September 2009

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CHAID detects interaction between variables in the [[data set]]. Using this technique it is possible to establish relationships between a ‘dependent variable’ – for example readership of a certain newspaper – and other explanatory variables such as price, size, supplements etc. CHAID does this by identifying discrete groups of respondents and, by taking their responses to explanatory variables, seeks to predict what the impact will be on the dependent variable.

CHAID is often used as an exploratory technique and is an alternative to multiple linear regression and logistic regression, especially when the data set is not well-suited to regression analysis.

== See also ==