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Introducing Novel Methods to Identify Fraudulent Responses (Sampling With Sisyphus): Web-Based LGBTQ2S+ Mixed-Methods
Kinnon Ross MacKinnon1,2, Naail Khan3, Katherine M Newman3
1School of Social Work, York University, Toronto, ON, Canada.
Journal of Medical Internet Research
|March 17, 2025
Summary
This study successfully recruited over 950 individuals exploring detransition within LGBTQ2S+ communities. It developed a novel method to ensure data integrity and understand diverse experiences.
Area of Science:
- Sociology
- Psychology
- Gender Studies
Background:
- Detransition is an emerging experience within LGBTQ2S+ populations requiring sensitive research.
- Challenges in detransition research include defining the phenomenon and participant recruitment.
- Resilience in the face of life challenges is a key theme.
Purpose of the Study:
- To present sampling and recruitment methods for a study on detransition-related phenomena in LGBTQ2S+ populations.
- To introduce a novel protocol for identifying and removing bot, scam, and ineligible survey responses.
- To present preliminary sociodemographic results of the study sample.
Main Methods:
- Distributed study flyers in English, French, and Spanish to over 615 organizations and providers.
- Promoted paid advertisements on 5 social media platforms, reaching over 7.7 million accounts.
- Developed a systematic protocol to identify and exclude fraudulent responses, including virtual screenings.
Main Results:
- 957 eligible participants (69.5%) were included in the analytic dataset from 1377 initial responses.
- The sample's mean age was 25.87 years, predominantly White (78.7%) and residing in the US (73.6%).
- Over half reported plurisexual orientations (56.8%); 33.2% identified as nonbinary, 43.2% as transgender, and 40.5% as detransitioned.
Conclusions:
- A heterogeneous sample of over 950 eligible participants was obtained despite recruitment challenges.
- The study introduces an innovative strategy for sampling hard-to-reach, equity-deserving groups.
- The developed approach effectively removes fraudulent responses, enhancing data reliability.
Keywords:
botsdetransitionlesbian, gay, bisexual, and transgendermobile phonenonbinarysamplingtransgenderMore Related Videos
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