Date:         Tue, 28 Nov 2006 14:24:55 -0500
Reply-To:     Statisticsdoc <statisticsdoc@cox.net>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Statisticsdoc <statisticsdoc@cox.net>
Subject:      Re: SPSS symmetric measures of association
Comments: To: Kendall's <fasilag@YAHOO.COM>
Content-Type: text/plain; charset=utf-8

www.statisticsdoc.com
Stephen Brand

The critical issue here is the measurement level of your variables.  Are they both nominal?  Ordinal?  Is one of them nominal and the other ordinal?   The test statistics themselves lack meaning without knowing the type of measures you are looking at.  Illustratively, if your are you interested in the strength of the association between ordinal variables, look at Phi.  If you are interested in the strength of the association between ordinal variables, look at the Spearman rank order correlation.

HTH,

Stephen Brand

---- Kendall's <fasilag@YAHOO.COM> wrote:
> Hi friends,
>
> I was looking for measure of associations between variables in my data. The
> coeffcients I'm using are Pearson chi, Phi, Cramer's V, Kendall's tau-b and
> Spearman correlation. Most of the time when there's a relation all the above
> coefficients give similar results with a signifcance level less than the
> assumed (say p = 0.05). In some instances while Pearson's chi, Phi and
> Cramer's V indicating a relation give a significance level less than say
> 0.05 but the values of Kendall's and Speraman r is greater than 0.05,
> disapproving the relation. I wanted you guys to advice me why and which to
> take.
> --
> View this message in context: http://www.nabble.com/SPSS-symmetric-measures-of-association-tf2719656.html#a7583238
> Sent from the SPSSX Discussion mailing list archive at Nabble.com.

--
For personalized and experienced consulting in statistics and research design, visit www.statisticsdoc.com