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A multi-group analysis of online survey respondent data quality: Comparing a regular USA consumer panel to MTurk samples

机译:在线调查受访者数据质量的多组分析:将美国常规消费者小组与MTurk样本进行比较

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摘要

With the exploding use of Internet surveys, research efforts and data quality are increasingly subject to the effects of respondents who do not give the required attention to survey questions and who speed through the survey, or who intentionally cheat with their answers. We investigate respondent integrity and data quality for samples drawn from a "Regular" online panel and from Amazon's MTurk. New metrics for assessing sample integrity and online data quality are introduced. Overall, MTurk respondents in both respondent groups took less time to answer questions. The non-USA MTurk group deviated most from correct answers in attention filter questions and had more duplicate IP addresses. In addition, the results from the three Internet sample sources are substantively different The choice of an Internet survey sample vendor is critical, as it can impact sample composition, respondent integrity, data quality, data structure and substantive results. (C) 2015 Published by Elsevier Inc.
机译:随着互联网调查的爆炸式增长,研究工作和数据质量越来越受到受访者的影响,这些受访者没有对调查问题给予必要的关注,他们加快了调查速度,或者故意欺骗了他们的答案。我们调查从“常规”在线面板和亚马逊MTurk抽取的样本的调查对象完整性和数据质量。引入了用于评估样品完整性和在线数据质量的新指标。总体而言,两个受访者群体中的MTurk受访者花费的时间都更少。非美国MTurk小组与注意过滤器问题中的正确答案有很大不同,并且具有更多重复的IP地址。此外,来自三个Internet样本来源的结果实质上不同。选择Internet调查样本供应商至关重要,因为它会影响样本组成,受访者完整性,数据质量,数据结构和实质性结果。 (C)2015年由Elsevier Inc.出版

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