Date: Wed, 28 Jul 2010 05:29:09 +0200
Reply-To: John F Hall <johnfhall@orange.fr>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: John F Hall <johnfhall@orange.fr>
Subject: Re: comparing participant and excluded participant characteristics
Content-Type: multipart/alternative;
Karen
Steve and Bruce are statistically way above me, but it looks to me as if you're trying to run comparisons of participants against non-participants on SES variables. What precisely do you mean by missing and exclusion? Do you have SES data for non-participants? Do you have a variable for?
participant "Yes" "No" or is this your shorthand for missing cases on the other variables in the survey?
If not, you need to create one with an intermediate step.
If you send me (an extract of) your SPSS saved file, I'll see if can be of more help, but I much prefer syntax to menus: that way it's simpler, quicker and I can see what I'm doing. My SPSS tutorials will help to get rid of some of your syntax rust! Some of what you need is not on the site yet, but I have drafts of tutorials covering SELECT IF etc. which I can send you. Incidentally, Pallant is an excellent book for desperate dissertation writers, but there are important aspects of surveys and SPSS she doesn't cover (see my reviews of the 2001 and 2005 editions)
John Hall
----- Original Message -----
From: Karen Lewis
To: SPSSX-L@LISTSERV.UGA.EDU
Sent: Tuesday, July 27, 2010 9:22 PM
Subject: comparing participant and excluded participant characteristics
How do I perform a chi-square test with participation and ses characteristics (e.g., education level, poverty status) as my two catagorical variables? I have a data set that excludes some of the participants from the study because of missing data. I want to compare these two groups across SES variables (e.g., to control for non response bias) but I don't know where to start. I am consulting the SPSS survival manual ( Pallant) on how to use chi square, but her examples do not cover this scenario. I assume that I must start by separating out the participants with missing data from those with a complete set of data for each of the SES variables. I do not know how to do this (I've tried "select cases", but it did not give me the correct number of missing cases. It gave me 123, when the number should be 71). Point and click is preferred, but I will try syntax (I'm a bit rusty on the steps for using syntax).
Karen
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