由模式决定?双模全州调查的表征与测量效应

IF 1.6 4区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Enrijeta Shino, Michael D. Martinez, Michael Binder
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引用次数: 4

摘要

随着双模式数据收集的使用越来越多,民意研究人员对了解不同访谈模式下的反应差异表现出了极大的兴趣。模式效应是模式间表现或测量差异的结果吗?我们使用佛罗里达州的选民档案作为抽样框架,进行了一项双模式调查(网络和电话),随机将登记选民分配到一种模式与另一种模式。有了关于被调查者的先验信息,我们可以衡量样本组成差异是否以及如何由模式效应驱动,以及模式是否影响政治行为的估计模型。调查模式对议题投票的影响仍然显著,即使两种模式的抽样设计相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DETERMINED BY MODE? REPRESENTATION AND MEASUREMENT EFFECTS IN A DUAL-MODE STATEWIDE SURVEY
With the increasing usage of dual-mode data collection, researchers of public opinion have shown considerable interest in understanding response differences across different interview modes. Are mode effects an outcome of representation or measurement differences across modes? We conducted a dual-mode survey (web and telephone) using Florida’s voter file as the sampling frame, randomly assigning registered voters into one mode versus the other. Having a priori information about the respondents allows us to gauge whether and how sample composition differences may be driven by mode effects, and whether mode affects estimated models of political behavior. Survey mode effects are still significant for issue voting even when sampling design is similar for both modes.
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来源期刊
CiteScore
4.30
自引率
9.50%
发文量
40
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.
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