Date:         Wed, 16 Jun 2010 00:51:17 +0200
Reply-To:     "Kooij, A.J. van der" <KOOIJ@fsw.leidenuniv.nl>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         "Kooij, A.J. van der" <KOOIJ@fsw.leidenuniv.nl>
Subject:      Re: Comparing ordinal variable in k Independant samples
Content-Type: multipart/alternative;

or, if you have the CATEGORIES module, you could use CATREG (Analyze menu, Regression, Optimal Scaling).
 
Kind regards,
Anita van der Kooij,
Data Theory Group,
Leiden University.

________________________________

From: SPSSX(r) Discussion on behalf of Bruce Weaver
Sent: Tue 15-Jun-10 19:54
To: SPSSX-L@LISTSERV.UGA.EDU
Subject: Re: Comparing ordinal variable in k Independant samples



Ordinal logistic regression (via the PLUM procedure) might be suitable.  How
large is your sample?  And how many subjects fall into each of the 3
categories?  If your data don't meet all the assumptions for ordinal
logistic regression, you could try multinomial logistic regression (NOMREG)
instead.  It assumes only nominal scale measurement for the outcome, not
ordered categories.



ANDRES ALBERTO BURGA LEON wrote:
>
> Hello to everybody:
>
> I need to check for differences among four independent samples that made a
> short essay (rated using a 3 point rating scale= good, medium, poor). I
> presume I could use Kruskal-Wallis H or a similar non-parametric test, but
> in the new PASW 18 non-parametric test "Test Field" option only accepts
> variable measured in scale level. Can't I use ordinal variables? What test
> could I do?
>
> I also need to check for differences among four independent groups, but
> whit a 7 points ordinal variable.
>
> Thanks
>
> Mg. Andrés Burga León
> Coordinador de Análisis e Informática
> Unidad de Medición de la Calidad Educativa
> Ministerio de Educación del Perú
> Calle El Comercio s/n (espalda del Museo de la Nación)
> Lima 41
> Perú
> Teléfono 615-5840
>
>


-----
--
Bruce Weaver
bweaver@lakeheadu.ca
http://sites.google.com/a/lakeheadu.ca/bweaver/
"When all else fails, RTFM."

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