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Survey non-response in a national area probability sample as a dimension of survey quality; an analysis of community characteristics

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Abstract:

Most area probability surveys collect little to no information about non-respondents. This paper aims to explore the community characteristics of survey non-respondents in a nation area probability survey. Data selected for use is obtained from the 2004 General Social Survey, an area probability sample of 6260 housing units. Results from the survey are nationally representative of English speaking residents. We expect that wealthy and racially segregated areas are more likely to have high non-response rates. This paper examines community characteristics in relation to survey non-response and proposes ways to improve response rates among high non-response communities in national area probability surveys.

Author's Keywords:

Non-response, Community characteristics, General Social Survey
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Association:
Name: American Association For Public Opinion Association
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http://www.aapor.org


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MLA Citation:

Kim, Jibum. and Sokolowski, John. "Survey non-response in a national area probability sample as a dimension of survey quality; an analysis of community characteristics" Paper presented at the annual meeting of the American Association For Public Opinion Association, Fontainebleau Resort, Miami Beach, FL, <Not Available>. 2009-05-25 <http://www.allacademic.com/meta/p17064_index.html>

APA Citation:

Kim, J. and Sokolowski, J. "Survey non-response in a national area probability sample as a dimension of survey quality; an analysis of community characteristics" Paper presented at the annual meeting of the American Association For Public Opinion Association, Fontainebleau Resort, Miami Beach, FL <Not Available>. 2009-05-25 from http://www.allacademic.com/meta/p17064_index.html

Publication Type: Paper/Poster Proposal
Abstract: Most area probability surveys collect little to no information about non-respondents. This paper aims to explore the community characteristics of survey non-respondents in a nation area probability survey. Data selected for use is obtained from the 2004 General Social Survey, an area probability sample of 6260 housing units. Results from the survey are nationally representative of English speaking residents. We expect that wealthy and racially segregated areas are more likely to have high non-response rates. This paper examines community characteristics in relation to survey non-response and proposes ways to improve response rates among high non-response communities in national area probability surveys.

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