调查对象驱动抽样估计器对测量误差的鲁棒性研究。

IF 1.6 4区数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS Journal of Survey Statistics and Methodology Pub Date : 2022-04-01 DOI:10.1093/jssam/smab056

Ian E Fellows

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引用次数: 2

摘要

被调查者驱动抽样(RDS)是在难以接触到的人群中进行调查的一种流行方法，这些人群需要强有力的假设才能做出有效的统计推断。在本文中，我们研究了RDS调查准确测量网络度的假设，并发现典型研究可能存在显着的测量误差。我们证明了大多数RDS估计量在不完善的测量模型下保持一致，几乎没有额外的偏差，尽管估计量的方差确实增加了。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On The Robustness Of Respondent-Driven Sampling Estimators To Measurement Error.

Respondent-driven sampling (RDS) is a popular method of conducting surveys in hard to reach populations where strong assumptions are required in order to make valid statistical inferences. In this paper we investigate the assumption that network degrees are measured accurately by the RDS survey and find that there is likely significant measurement error present in typical studies. We prove that most RDS estimators remain consistent under an imperfect measurement model with little to no added bias, though the variance of the estimators does increase.

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来源期刊

Journal of Survey Statistics and Methodology Multiple-

CiteScore

4.30

自引率

9.50%

发文量

期刊介绍： The Journal of Survey Statistics and Methodology, sponsored by AAPOR and the American Statistical Association, began publishing in 2013. Its objective is to publish cutting edge scholarly articles on statistical and methodological issues for sample surveys, censuses, administrative record systems, and other related data. It aims to be the flagship journal for research on survey statistics and methodology. Topics of interest include survey sample design, statistical inference, nonresponse, measurement error, the effects of modes of data collection, paradata and responsive survey design, combining data from multiple sources, record linkage, disclosure limitation, and other issues in survey statistics and methodology. The journal publishes both theoretical and applied papers, provided the theory is motivated by an important applied problem and the applied papers report on research that contributes generalizable knowledge to the field. Review papers are also welcomed. Papers on a broad range of surveys are encouraged, including (but not limited to) surveys concerning business, economics, marketing research, social science, environment, epidemiology, biostatistics and official statistics. The journal has three sections. The Survey Statistics section presents papers on innovative sampling procedures, imputation, weighting, measures of uncertainty, small area inference, new methods of analysis, and other statistical issues related to surveys. The Survey Methodology section presents papers that focus on methodological research, including methodological experiments, methods of data collection and use of paradata. The Applications section contains papers involving innovative applications of methods and providing practical contributions and guidance, and/or significant new findings.