Methods to reduce fraudulent participation and highlight autistic voices in research

Abstract

Alongside the rise in online qualitative research, fraudulent representation of research participants is increasing, and current strategies to address this issue within studies of non-neurodiverse samples may exclude autistic voices. Seeking to reduce fraudulent or “scammer” participation in our focus group study, and increase data validity and expenditure efficiency, we implemented strategies suggested in the literature and tested additional strategies. This research adds to the growing conversation around best practices for reducing scammers in autism research using online methods by (1) providing data evaluating the utility of existing strategies; (2) testing emerging strategies; and (3) discussing ethical dilemmas involved in addressing scammers in studies. We received over 200 expressions of interest and the established strategies suggested in the literature plus emerging strategies proved critical for mitigating the enrollment of scammers in focus groups. Protecting the integrity of data about human subjects from fraud is essential for rigorous autism research; trustworthy conclusions cannot be otherwise drawn from analysis. However, the strategies inherently require subjective decision-making that could systematically exclude participants with more limited or atypical communication and result in unfair subject selection. Procedures we recommend incur resources and are time consuming but are beneficial to ensure data integrity and inclusivity.