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

Recruitment of Research Participants (280) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (788) LGBTQ Issues (415) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44175, first published .
Sampling Sexual and Gender Minority Youth With UnACoRN (Understanding Affirming Communities, Relationships, and Networks): Lessons From a Web-Based Survey

Sampling Sexual and Gender Minority Youth With UnACoRN (Understanding Affirming Communities, Relationships, and Networks): Lessons From a Web-Based Survey

Sampling Sexual and Gender Minority Youth With UnACoRN (Understanding Affirming Communities, Relationships, and Networks): Lessons From a Web-Based Survey

Authors of this article:

Jorge Andrés Delgado-Ron1, 2 Author Orcid Image ;   Thiyaana Jeyabalan1, 2, 3 Author Orcid Image ;   Sarah Watt1, 2, 4 Author Orcid Image ;   Stéphanie Black1, 2 Author Orcid Image ;   Martha Gumprich1, 2 Author Orcid Image ;   Travis Salway1, 2, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (14) Metrics

Journals

  1. Hays R, Qureshi N, Herman P, Rodriguez A, Kapteyn A, Edelen M. Effects of Excluding Those Who Report Having “Syndomitis” or “Chekalism” on Data Quality: Longitudinal Health Survey of a Sample From Amazon’s Mechanical Turk. Journal of Medical Internet Research 2023;25:e46421 View
  2. Delgado‐Ron J, Jeyabalan T, Watt S, Salway T. Mitigating invalid data bias in the estimation of sexual orientation disparities in a survey of youth in US and Canada. Child Development 2024 View