Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes

被引:2
作者
Lin, Yu Kuei [1 ,4 ]
Newman, Sean [2 ]
Piette, John [2 ,3 ]
机构
[1] Univ Michigan, Dept Internal Med, Div Metab Endocrinol & Diabet, Med Sch, Ann Arbor, MI USA
[2] Univ Michigan, Dept Hlth Behav & Hlth Educ, Sch Publ Hlth, Ann Arbor, MI USA
[3] VA Ann Arbor Healthcare Syst, Ctr Clin Management Res, Ann Arbor, MI USA
[4] Univ Michigan, Div Metab Endocrinol & Diabet, Dept Internal Med, Med Sch, 1000 Wall St,Brehm 5119, Ann Arbor, MI 48105 USA
关键词
diabetes; Amazon Mechanical Turk; MTurk; crowdsourcing; survey; type; 1; T1D; cross-sectional survey; website; online platform; web-based platform; reliability;
D O I
10.2196/43593
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Although Amazon Mechanical Turk facilitates the quick surveying of a large sample from various demographic and socioeconomic backgrounds, it may not be an optimal platform for obtaining reliable diabetes-related information from the online type 1 diabetes population.
引用
收藏
页数:4
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