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Activity Number:
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216
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #303934 |
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Title:
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Analyses Based on Combining Similar Information from Multiple Surveys
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Author(s):
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Georgia Roberts*+ and David Binder
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Companies:
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Statistics Canada and Statistics Canada (Retired)
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Address:
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100 Tunney's Pasture Driveway, Ottawa, ON, K1A 0T6, Canada
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Keywords:
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pooling ; target population ; design-based analysis ; model-design-based framework
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Abstract:
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Many researchers have access to different survey sources, each with similar variables. These researchers are often interested in the appropriateness of bringing together the data from the different sources for the purpose of data analysis, particularly when each source has a small sample size for the question being studied. We address a variety of topics that the researcher should be aware of such as the comparability of the variables across surveys, and the suitability of positing a model for the variables in the different surveys. We discuss possible approaches for combining the information.
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