Programming the statistical procedures from SAS

Weighting Survey Data - How to perform in SAS

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Weighting Survey Data - How to perform in SAS

I have survey data that is unweighted and I am needing to create weights for the analysis.

Unfortunately, my experience with using weighted data, is using a weighted variable that was already created and in the dataset prior to me receiving it.

I have been searching for references on the how to properly weight data. I perhaps am not searching for the right subject title or something of the sort.

Any advice, references or materials that you could provide would be most helpful. Thank you.

The data I am looking at is collected from various day cares in the state. We have a SES indicator, urban/rural variable, gender, age, race, height, weight, city, county and day care center.


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‎02-13-2012 02:58 PM
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Posts: 7,085

Weighting Survey Data - How to perform in SAS

You are asking a rather broad question.  Here is a powerpoint that might provide an introduction on the topic:

http://www.google.ca/url?sa=t&rct=j&q=why+weight+survey+data&source=web&cd=1&ved=0CCQQFjAA&url=http%...

if that link doesn't come across, here it is in tiny url form: http://tiny.cc/r05xv

You can find a lot of articles if you do a web search for: why weight survey data

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‎02-13-2012 02:58 PM
Esteemed Advisor
Posts: 7,085

Weighting Survey Data - How to perform in SAS

You are asking a rather broad question.  Here is a powerpoint that might provide an introduction on the topic:

http://www.google.ca/url?sa=t&rct=j&q=why+weight+survey+data&source=web&cd=1&ved=0CCQQFjAA&url=http%...

if that link doesn't come across, here it is in tiny url form: http://tiny.cc/r05xv

You can find a lot of articles if you do a web search for: why weight survey data

Contributor
Posts: 71

Weighting Survey Data - How to perform in SAS

Thanks Art!

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Posts: 10,062

Weighting Survey Data - How to perform in SAS

If you get involved in the next project earlier investigate use of PROC SURVEYSELECT. This will, if used correctly, provide the probablity of selection and weight values for many types of samples so they are available at the analysis stage.

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