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A Simulation Study to Compare Weighting Methods for Survey Nonresponses in the National Survey of Recent College Graduates
Amang Sukasih; Donsig Jang; Sonya Vartivarian; Stephen Cohen; and Fan Zhang
发表日期2009-12-30
出版者Alexandria, VA: American Statistical Association. In 2009 Proceedings of the Section on Survey Research Methods of the American Statistical Association
出版年2009
语种英语
概述Common methods to adjust sampling weights to account for survey nonresponse are the weighting cell technique, response propensity modeling, or a combination of both.",
摘要Common methods to adjust sampling weights to account for survey nonresponse are the weighting cell technique, response propensity modeling, or a combination of both. Each raises several issues; for examples, which covariates to use to construct the weighting cells or to model response propensities, whether weights are used in modeling, and whether to weight the adjustment factor. To address these issues, we used a simulation based on a data from the National Survey of Recent College Graduates (NSRCG) maintained by the National Science Foundation to evaluate these weighting methods. In the end, we expect that the weighting adjustment will have successfully accounted for possible nonresponse bias.
URLhttps://www.mathematica.org/our-publications-and-findings/publications/a-simulation-study-to-compare-weighting-methods-for-survey-nonresponses-in-the-national-survey-of-recent-college-graduates
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/486371
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GB/T 7714
Amang Sukasih,Donsig Jang,Sonya Vartivarian,et al. A Simulation Study to Compare Weighting Methods for Survey Nonresponses in the National Survey of Recent College Graduates. 2009.
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