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来源类型 | Publication |
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. |
URL | https://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 |
推荐引用方式 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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
simulationstudy.pdf(408KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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