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

Research Instruments, Questionnaires, and Tools (738) mHealth for Data Collection and Research (1196) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Email Communication, Web-Based Communication, Secure Messaging (191) Recruitment of Research Participants (377) Patient and Public Involvement in Research (35)

Published on in Vol 27 (2025)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68092, first published .
Increasing Rigor in Online Health Surveys Through the Reduction of Fraudulent Data

Increasing Rigor in Online Health Surveys Through the Reduction of Fraudulent Data

Increasing Rigor in Online Health Surveys Through the Reduction of Fraudulent Data

Authors of this article:

Wen Zhi Ng1 Author Orcid Image ;   Sundarimaa Erdembileg1, 2 Author Orcid Image ;   Jean C J Liu3 Author Orcid Image ;   Joseph D Tucker4, 5 Author Orcid Image ;   Rayner Kay Jin Tan1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Neal Z, Neal J. My closest relationship is with “Yur Mama”: Data quality in the CHIP50 ego network module. Connections 2025;46(1):56 View