答辩人
测量数据收集
调查方法
调查研究
质量(理念)
心理学
任务(项目管理)
数据科学
应用心理学
计算机科学
政治学
统计
工程类
数学
哲学
法学
系统工程
认识论
作者
R. Michael Alvarez,Yimeng Li
摘要
Abstract Survey research methodology is evolving rapidly, as new technologies provide new opportunities. One of the areas of innovation regards the development of online interview best practices and the advancement of methods that allow researchers to measure the attention that respondents are devoting to the survey task. Reliable measurement of respondent attention can yield important information about the quality of the survey response. In this article, we take advantage of an innovative survey we conducted in 2018, in which we directly connect survey responses to administrative data, allowing us to assess the association between survey attention and response quality. We show that attentive survey respondents are more likely to provide accurate survey responses regarding a number of behaviors and attributes that we can validate with our administrative data. We discuss the best strategy to deal with inattentive respondents in surveys in light of our results.
科研通智能强力驱动
Strongly Powered by AbleSci AI