Assessing and Improving Data Integrity in Web-Based Surveys: Comparison of Fraud Detection Systems in a COVID-19 Study.
Stephen K BonettWilley Y LinPatrina Sexton TopperJames R WolfeJesse M GolinkoffAayushi DeshpandeAntonia Maria VillarruelJosé Arturo BauermeisterPublished in: JMIR formative research (2024)
The selection of a fraud detection method can affect the study's sample composition. The findings of this study, while not conclusive, suggest that a multilayered approach to fraud detection that includes conservative use of automated fraud detection and integration of human review of entries tailored to the study's specific context and its participants may be warranted for future survey research.