Date:         Wed, 29 Nov 2006 11:49:24 +1000
Reply-To:     bgreen@dyson.brisnet.org.au
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Bob Green <bgreen@dyson.brisnet.org.au>
Subject:      Re: SPSS symmetric measures of association
Comments: To: Kendall's <fasilag@YAHOO.COM>
In-Reply-To:  <7585939.post@talk.nabble.com>
Content-Type: text/plain;charset=iso-8859-1

If your sample sizes are not large you could consider an exact test. I
have been looking at linear by linear association tests and there is also
a special case the Cochran Armitage test which may be relevant. Agresti's
books on categorical data analysis discuss these and the other statistical
tests that you mention, as well as the  relationship between them.

Bob

> Hi Dominic,
>
> Thanks for your attention.
>
> My data are both nominal and ordinal. I'm doing research on public
> perception of flooding. To give an example on the responses: one variable
> is
> "yes" and "no" and the second is "no", Minor risk", and "major risk", the
> second seems ordinal. The results i've is, the significance level for
> Chi-square, Phi, and Cramer's V is 0.000; however Kendall's tau-b and
> Speraman correlation have resulted with a negative value at a significance
> level between 0.491 and 0.51. It's strange! Does this information help?
> Please come back if you need more info.
>
> Take care,
> Kendall's
> --
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>