This paper is in the following e-collection/theme issue:

Crowdsourcing, Big Data, Quantified Self-based Research Data (9) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (684) Development of Instruments and Surveys (72) Crowdsourcing and Mechanical Turks (87)

Published on in Vol 2, No 2 (2017): Jul-Dec

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

Authors of this article:

Mary Turner DePalma 1 Author Orcid Image ;   Michael C Rizzotti 1 Author Orcid Image ;   Matthew Branneman 1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Zhou L, Parmanto B. Development and Validation of a Comprehensive Well-Being Scale for People in the University Environment (Pitt Wellness Scale) Using a Crowdsourcing Approach: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(4):e15075 View
  2. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  3. Lin Y, Newman S, Piette J. Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes. Journal of Medical Internet Research 2023;25:e43593 View