home *** CD-ROM | disk | FTP | other *** search
- Path: sparky!uunet!olivea!pagesat!spssig.spss.com!nichols
- From: nichols@spss.com (David Nichols)
- Newsgroups: bit.listserv.stat-l
- Subject: Re: 2 x 3 contingency table
- Message-ID: <C0G5B6.B6s@spss.com>
- Date: 6 Jan 93 19:11:29 GMT
- Sender: news@spss.com (Net News Admin)
- Organization: SPSS Inc.
- Lines: 16
-
- Another way to look at the problem of figuring out where a significant
- chi-square statistic comes from is to examine residuals, or more
- specifically, standardized and adjusted residuals. The standardized
- residuals give a picture of the contribution of the misfit of observed
- vs. expected in each cell of the table, and the adjusted residuals are
- asymptotically normally distributed and can thus in large samples be
- used to test for cells that are mispredicted under the independence
- model. See pp. 224-on in Agresti's _Categorical Data Analysis_ for more
- information, or some of Haberman's stuff. These residuals are provided
- in SPSS in CROSSTABS.
-
- --
- David Nichols Senior Statistical Support Specialist SPSS, Inc.
- Phone: (312) 329-3684 Internet: nichols@spss.com Fax: (312) 329-3657
- *******************************************************************************
- Any correlation between my views and those of SPSS is strictly due to chance.
-