Application of CHi-squared Automatic Interaction Detector in Segmenting Subgroups

›› 2007, Vol. 15 ›› Issue (3): 552-558.

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Application of CHi-squared Automatic Interaction Detector
in Segmenting Subgroups

Zhang Hongtao;Wang Erping;Chen Yiwen

Institute of Psychology,Chinese Academy of Sciences, Beijing 100101, China

Received:2006-04-20 Revised:1900-01-01 Online:2007-05-15 Published:2007-05-15
Contact: Wang Erping

Abstract

Abstract: CHi-squared Automatic Interaction Detector (CHAID) algorithm model is applied in social surveys and market segmentation. It is mainly used to classify cohorts by determining the characteristics of several predictors based on a dependent variables. This review article introduces the core concepts, operational precede, and development of the CHAID algorithm model. Compared with Logit model, this article also discusses the advantages, disadvantages, and restrictions of CHAID model. Furthermore, this article points out some questions for further research for the model

Key words: CHAID algorithm, Logit model, classification

CLC Number:

B841

Zhang Hongtao;Wang Erping;Chen Yiwen. Application of CHi-squared Automatic Interaction Detector
in Segmenting Subgroups
[J]. , 2007, 15(3): 552-558.

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Application of CHi-squared Automatic Interaction Detector
in Segmenting Subgroups

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