Chapter VII. Nonsampling bias and variance in the SRC Telephone Survey data.

R M Groves, L J Magilavy
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Abstract

This small exercise was a check on the nature of the effects of the experimental interviewing behaviors, one that attempted to dismiss the possibility that the increases in reporting were coming at the expense of greater interviewer variance. The findings presented are limited by the small number of statistics examined, but they suggest that the possibility that the experimental behaviors merely move errors from bias terms to variance terms is unlikely to be experienced. It is also unlikely that the experimental effects do not uniformly decrease interviewer variance and they appear to be reducing response bias. The measurement of the net effect of the treatments on mean square error requires estimates of the relative size of total response variance composed both of interviewer and respondent variability and response bias associated with the experimental procedures.

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第七章。SRC电话调查数据中的非抽样偏差和方差。
这个小练习是对实验性采访行为影响的本质的检验,它试图排除这样一种可能性,即报告数量的增加是以采访者更大的差异为代价的。所提出的发现受到检验的少数统计数据的限制,但它们表明,实验行为仅仅将误差从偏差项转移到方差项的可能性不大。也不太可能的是,实验效果不一致地减少面试官方差,他们似乎是减少反应偏差。测量处理对均方误差的净效应需要估计总反应方差的相对大小,该方差由访谈者和被调查者的可变性以及与实验程序相关的反应偏差组成。
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来源期刊
CiteScore
13.20
自引率
0.00%
发文量
0
期刊介绍: Studies of new statistical methodology including experimental tests of new survey methods, studies of vital statistics collection methods, new analytical techniques, objective evaluations of reliability of collected data, and contributions to statistical theory. Studies also include comparison of U.S. methodology with those of other countries.
期刊最新文献
Calibration Weighting Methods for the National Center for Health Statistics Research and Development Survey. Assessing Linkage Eligibility Bias in the National Health Interview Survey. Assessing Linkage Eligibility Bias in the National Health Interview Survey. An Investigation of Nonresponse Bias and Survey Location Variability in the 2017-2018 National Health and Nutrition Examination Survey. National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.
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