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Internet surveys : can statistical adjustments eliminate coverage bias?

Interneterhebungen : können statistische Abgleiche Erfassungsverzerrungen eliminieren?
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Dever, Jill A.; Rafferty, Ann; Valliant, Richard

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Abstract "The Internet is an attractive mode of data collection to survey researchers due to cost savings and timeliness in comparison with other modes. However, survey estimates are subject to coverage bias if sampled persons with Internet access are systematically different from those without Internet access who were excluded from the survey. Statistical adjustments, either through weighting or modeling methods, can minimize or even eliminate bias due to non-coverage. In the current paper, the authors examine the coverage bias associated with conducting a hypothetical Internet survey on frame of persons obtained through a random-digit-dial (RDD) sample. They compare estimates collected during telephone interviews from households with and without Internet access using data from the 2003 Michigan Behavioral Risk Factor Surveillance System in the United States. Statistical models are developed such that the coverage bias is negligible for most of the health outcomes analyzed from the Michigan survey. Though not definitive, the analysis results suggest that statistical adjustments can reduce, if not eliminate, coverage bias in the situation the authors study." (author's abstract)
Keywords United States of America; methodological research; methodology; survey; error; statistical theory of errors; interview; Internet; telephone interview; private household; health behavior; risk; comparison of methods; North America
Classification Research Design; Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language English
Publication Year 2008
Page/Pages p. 47-60
Journal Survey Research Methods, 2 (2008) 2
Status Published Version; peer reviewed
Licence Deposit Licence - No Redistribution, No Modifications