You are not currently logged in.
Access your personal account or get JSTOR access through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
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
Stable URL: http://www.jstor.org/stable/2986296
Page Count: 9
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
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.
Journal of the Royal Statistical Society. Series C (Applied Statistics) © 1980 Royal Statistical Society