访谈者参与受访者选择调节回复率和样本偏差在欧洲跨国调查项目之间的关系

IF 1.6 4区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
M. Kołczyńska, P. Jabkowski, S. Eckman
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引用次数: 0

摘要

调查研究人员和从业人员通常认为,较高的回复率与较高的调查数据质量有关。然而,在面对面的调查中,这种说法的证据是混杂的。为了解释这些混合的结果,最近的研究提出,采访者参与被调查者的选择调节了回复率对数据质量的影响。先前基于欧洲社会调查数据的分析发现,当采访者参与受访者选择时,回复率与数据质量呈正相关。然而,当采访者更多地通过家庭框架创建或家庭内目标人员的选择参与受访者选择时,回复率与数据质量之间的关联是负的。这些研究假设,一些采访者偏离了规定的选择程序,选择具有更高反应倾向的个人,这增加了回复率,同时降低了数据质量。我们用扩展的数据集复制了这些结果,包括最近的欧洲社会调查和其他三个欧洲调查项目:欧洲生活质量调查、欧洲价值观研究和国际社会调查计划。根据我们的研究结果,我们建议在调查中包括验证受访者选择实践的程序,以纳入其实地工作控制程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interviewer Involvement in Respondent Selection Moderates the Relationship between Response Rates and Sample Bias in Cross-National Survey Projects in Europe
Survey researchers and practitioners often assume that higher response rates are associated with a higher quality of survey data. However, the evidence for this claim in face-to-face surveys is mixed. To explain these mixed results, recent studies have proposed that interviewers’ involvement in respondent selection moderates the effect of response rates on data quality. Previous analyses based on data from the European Social Survey found that response rates are positively associated with data quality when interviewer involvement in respondent selection is minimal. However, the association between response rates and data quality is negative when interviewers are more involved in respondent selection through household frame creation or within-household selection of target persons. These studies have hypothesized that some interviewers deviate from prescribed selection procedures to select individuals with higher response propensities, which increase response rates while reducing data quality. We replicate these results with an extended dataset, including more recent European Social Survey rounds and three other European survey projects: the European Quality of Life Survey, European Values Study, and International Social Survey Programme. Based on our results, we recommend that surveys include procedures to verify respondent-selection practices into their fieldwork control procedures.
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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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