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Date:         Thu, 16 Sep 2010 13:55:00 -0400
Reply-To:     Gene Maguin <emaguin@buffalo.edu>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Gene Maguin <emaguin@buffalo.edu>
Subject:      Re: test for changes in ordinal variable
In-Reply-To:  <905E3A71-BE54-4F0F-BD49-451C89EEB547@mimectl>
Content-Type: text/plain; charset="us-ascii"

Hi Muir,

I disagree with your having computed difference scores. I'd agree that the scores are categorical. Maybe strictly ordinal, maybe mostly ordinal, maybe not. Being in the UK, you know more about the measure than me in the US ever will. With deference to categorical analysts on the list and assuming that you have some covariates to include, I'd think that something like plum (ordinal logistic regression) or genlin might be more appropriate. Or, nomreg (multichotomous logistic).

Gene Maguin

________________________________

From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Muir Houston Sent: Thursday, September 16, 2010 1:33 PM To: SPSSX-L@LISTSERV.UGA.EDU Subject: test for changes in ordinal variable

Listers, More of a stats I have a variables coded to major sub-groups of the UK Standard Occupational Classification - the possible values are from '11' (Corporate Managers) to '92' Elementary administration and service occupations. (Ideal JobP1; Ideal JobP2; Expected JobP1; Expected Job2)

All possible values are:

11 12 21 22 23 24 31 32 33 34 35 41 42 51 52 53 54 61 62 71 81 82 91 92

Now what I want to do is calculate the degree of change over the two waves of the survey. I have three locations (school A, B and C) and Gender and I would be interested in whether there has been any significant change either up or down the scale by school and by gender

The first thing I did was calculate change variables Delta1=( Ideal job Phase 2)-(IdealJob Phase 1) Delta2= (Expected job P2)-(Expected Job P1) Delta3=(IdealJobP2)-(Expected JobP2) Delta4=(Ideal JobP1)-(Expected JobP1)

values range from (-87) to (71)

What would you consider a suitable test to see if differences by gender and school and over time exist?

thanks Muir

Dr Muir Houston Lecturer DACE Faculty of Education University of Glasgow 0141-330-4699

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