An Assessment of the Multi-level Integrated Database Approach

被引:7
|
作者
Smith, Tom W. [1 ,2 ,3 ]
Kim, Jibum [2 ,4 ]
机构
[1] Univ Chicago, Natl Data Program Social Sci, Chicago, IL 60637 USA
[2] Univ Chicago, Natl Opin Res Ctr, Chicago, IL 60637 USA
[3] Int Social Survey Program, Cologne, Germany
[4] Sungkyunkwan Univ, Dept Sociol, Seoul, South Korea
关键词
aggregate-level data; paradata; nonresponse; auxiliary data; database linkage; NEIGHBORHOOD CONTEXT; NONRESPONSE BIAS; SURVEY PARTICIPATION; RACIAL COMPOSITION; CANCER INCIDENCE; SEXUAL-ACTIVITY; FOLLOW-UP; DRUG-USE; RATES; MORTALITY;
D O I
10.1177/0002716212463340
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
The Multi-level Integrated Database Approach (MIDA) is an innovative procedure to improve survey research in general and to assess and adjust for nonresponse bias in particular. Its utility for data collection, nonresponse measurement, estimate adjustment, interviewer validation, and analysis are considered. Also discussed is how MIDA extends survey methodology beyond existing practices. A demonstration of a MIDA-enhanced sample frame for U.S. households is carried out. Finally, further steps for the use and testing of MIDA are covered.
引用
收藏
页码:185 / 221
页数:37
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