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Activity Number:
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244
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Type:
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Luncheons
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Date/Time:
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Tuesday, August 10, 2004 : 12:30 PM to 1:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #301165 |
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Title:
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Enhancing Collaboration between Social Science Researchers and Statisticians
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Author(s):
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David A. Binder*+
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Companies:
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Statistics Canada
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Address:
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Methodology Branch, Ottawa, ON, K1A 0T6, Canada
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Keywords:
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analysis ; survey data ; survey design ; econometrics ; health policy research ; longitudinal studies
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Abstract:
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What are the barriers to involving statisticians in the social sciences, in economics, and in other research disciplines? Are there important "cultural" differences that are a hindrance to cross-disciplinary communications? Do statisticians use language that is meaningless or that has a different meaning to other researchers? Are the norms used by peer reviewers from various disciplines well understood by statisticians when they are consulted? One area where the issue of collaboration with statisticians often arises is in the analysis of survey data. Such data are now being used increasingly by many disciplines, but the subtleties associated with appropriate ways to analyze such data may not be well understood or easy to explain. Most accepted procedures used in the social sciences (often available in commercial software) are based on assuming that the data model incorporates all the relevant information about the mechanisms for selecting respondents. Do social science researchers understand this sufficiently well? What is the role of statisticians here, if any? These are some questions that we will be exploring.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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