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Date:         Fri, 12 Aug 2005 17:41:32 +0200
Reply-To:     Frank Thomas <news.ftr@free.fr>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Frank Thomas <news.ftr@free.fr>
Subject:      Re: weighting with two weight variables
In-Reply-To:  <5BE841EFFAB9664A9E057D5217856A6B03168DCC@bubsex02.cen.csin.cz>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed

Jan and Mr N Forcheh, I intend to do regression analysis for all European countries together. So, if I understand you well, I should only use the design weight (which I did in my previous analyses). However, this provides a queer result: the 80 mill. of Germans will have the same weight as the several millions of, say, Austrians. This is why there is the population weight. So, ... ?

Frank

Spousta Jan wrote:

>A remark: If weghting with the compound weight, all confidence intervals >and statistical tests are biased. So use this method only for computing >the mean scores (e.g. a mean trust of an European respondent in the >European Parliament). If comparing the countries (ANOVA-like), it is >appropriate to use the design weight only. >Jan > >-----Original Message----- >From: Spousta Jan >Sent: Friday, August 12, 2005 4:35 PM >To: SPSSX-L@LISTSERV.UGA.EDU >Subject: RE: weighting with two weight variables > >Hi Frank, > >multiply them: > >compute wgt = w_design * w_country. > >and weight by the compound weight wgt. > >Greetings > >Jan > >-----Original Message----- >From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of >Frank Thomas >Sent: Friday, August 12, 2005 4:24 PM >To: SPSSX-L@LISTSERV.UGA.EDU >Subject: weighting with two weight variables > >Hi, >I am doing regression analysis with the European Social Survey data set. > >The data need weighting. There are two weights: >- a design weight to correct for within-country deviation from the >population, and >- a population weight for correcting for country size when you do an >analysis for all countries together. Thus, the population weight >neutralizes the fact that you have a similar sample size in all >countries. When doing an analysis with all countries together the >population sizes have to be used to take the different sizes of the >population into account. > >If doing analysis on the complete data set both weights have to be >combined. How to do this ? The weight command only allows for a single >variable. > > >Thanks for your help. > >F. Thomas > >-- >.......................................... >Dr. Frank Thomas >FTR Internet Research >93110 Rosny-sous-Bois >France > > > >

-- .......................................... Dr. Frank Thomas FTR Internet Research 93110 Rosny-sous-Bois France


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