Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If you need an accessible version of this item please contact JSTOR User Support

An Exploratory Technique for Investigating Large Quantities of Categorical Data

G. V. Kass
Journal of the Royal Statistical Society. Series C (Applied Statistics)
Vol. 29, No. 2 (1980), pp. 119-127
Published by: Wiley for the Royal Statistical Society
DOI: 10.2307/2986296
Stable URL: http://www.jstor.org/stable/2986296
Page Count: 9
  • Read Online (Free)
  • Download ($29.00)
  • Subscribe ($19.50)
  • Cite this Item
If you need an accessible version of this item please contact JSTOR User Support
An Exploratory Technique for Investigating Large Quantities of Categorical Data
Preview not available

Abstract

The technique set out in the paper, CHAID, is and offshoot of AID (Automatic Interaction Detection) designed for a categorized dependent variable. Some important modifications which are relevant to standard AID include: built-in significance testing with the consequence of using the most significant predictor (rather than the most explanatory), multi-way splits (in contrast to binary) and a new type of predictor which is especially useful in handling missing information.

Page Thumbnails

  • Thumbnail: Page 
[119]
    [119]
  • Thumbnail: Page 
120
    120
  • Thumbnail: Page 
121
    121
  • Thumbnail: Page 
122
    122
  • Thumbnail: Page 
123
    123
  • Thumbnail: Page 
124
    124
  • Thumbnail: Page 
125
    125
  • Thumbnail: Page 
126
    126
  • Thumbnail: Page 
127
    127