Gene
One way might involve devising some complex weighting, about which I know next to nothing.
Another way would be to produce conditional frequency tables (or contingency tables) and barcharts for sub-populations from each group.
If you have the raw data files, Excel spreadsheets or SPSS saved files for your groups and are prepared to send them to me (in confidence) I can have a look at your data and run some analyses for you.
As everyone knows, a picture (or chart) is worth a thousand words, and, as my old boss Mark Abrams used to say, “If it’s worth saying, you can say it in percentages.”
I’m copying the SPSS list into this as there are some really clever guys out there who may have helpful suggestions.
John F Hall (Mr)
[Retired academic survey researcher]
Email: [hidden email]
Website: www.surveyresearch.weebly.com
Start page: www.surveyresearch.weebly.com/spss-without-tears.html
From: Survey Research Methods Section of the ASA [mailto:[hidden email]] On Behalf Of Gene Shackman
Sent: 12 April 2013 17:01
To: [hidden email]
Subject: where can I learn about frequencies adjusting for population characteristics
Hi all
We have some survey data from two different groups. Their population characteristics are slightly different (e.g., age, race/ethnicity, etc.). Where can I learn how to adjust them so that I can present their responses to survey questions, adjusted for their population characteristics? So for example I want to present tables showing what percent from groups 1 and 2 said they were satisfied with ABCDE, after making them comparable for the various population characteristics. That way, people can see, from the table, where there are differences.
I know I can do regressions to adjust, and get statistically significant differences, but I want to have easy to read tables too, that non statisticians can read.
Where on the web shows how to do this?
Thanks
Gene
Gene Shackman, Ph.D.
NYS DOH - Division of Nutrition
Evaluation, Research and Surveillance Unit
150 Broadway, Riverview Center, Suite 517
Albany NY 12204
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