Date: Wed, 28 Mar 2012 13:41:41 -0700
Reply-To: David Marso <firstname.lastname@example.org>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: David Marso <email@example.com>
Subject: Re: Database Management Help
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Quick and dirty would be to do
1. CASESTOVARS on both files (use different varnames for the dates in the 2
2. Simple 1:1 Match at the point.
3. Let the devil sort it out later with some basic logic after nuking the
Michael, Paul G. wrote
> Hi All,
> I have two data sets that I would like to merge using ID as the keyed
> variable, and each data file has duplicates IDs. The variables of interest
> in the first dataset are ID, date of contact (DD-MM-YYYY), and Body Mass
> Index (BMI). The variables of interest in the second data set are ID, date
> of contact (DD-MM-YYYY), and depression score. The duplicate IDs occur
> because some subjects had more than 1 BMI score from different time points
> and/or more than 1 depression score at different time points.
> The contact dates from each file do not match up in all instances (in fact
> very few subjects have the same contact date in both files). I only want
> to keep subjects who have both BMI data and depression data but I need to
> preserve information from all the contact dates.
> When I try a simple merge by adding variables (e.g., depression score and
> contact date) to the BMI data set using ID as the keyed variable, I run
> into the problem of having to go through thousands of cases and delete
> those that don't have both BMI and depression data.
> For example I might have one subject whose BMI was collected 10 times on
> different dates and none of these dates match the depression data for this
> subject. So after the merge I have eleven rows for this subject that I
> would like to preserve (all BMI data and depression data). Another subject
> may have BMI scores collected at 7 different dates, but this subject has
> no depression data. I would like to remove all the BMI data for this
> subject since they have no depression data.
> Is there a way in which I can merge these files in a different way to get
> what I need or a method to delete cases in the merged data file based on
> duplicate IDs and BMI data but no depression data? Any help is greatly
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