Used in the analysis of data, CHAID stands for chi-square automatic interaction detection. It identifies market segments that differ in response, screens out extraneous predictor variables and collapses the number of categories of explanatory variables.

Chi-squared Automatic Interaction Detection. A multivariate segmentation technique which splits up respondents into groups.

Chi-Square Automatic Interaction Detector, a type of tree analysis. Clustering: Profiling method in which you group segments of customers by age, SIC, geography, and other variables to create a profile of your largest customer segments.

Chi Square Automatic Interaction Detection. A decision tree technique used for classification of a dataset. Provides a set of rules that you can apply to a new (unclassified) dataset to predict which records will have a given outcome. Segments a dataset by using chi square tests to create multi-way splits. Preceded, and requires more data preparation than, CART.

An algorithm for fitting categorical trees. It relies on the chi-squared statistic to split the data into small connected data sets.

CHAID is a technique that detects interaction between variables. It is used to identify discrete groups of consumer and predict how their responses to some variables affect other variables.