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Recommendations From a Descriptive Evaluation to Improve Screening Procedures for Web-Based Studies With Couples:

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This study developed methods to screen couples in online research, successfully validating relationships and data while identifying fraudulent entries. Lessons learned will improve future dyadic data collection and participant screening.

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Area of Science:

  • Online research methodologies
  • Social sciences
  • Public health research

Background:

  • Web-based research offers recruitment advantages but faces data validity challenges.
  • Existing screening methods focus on individual participants, not dyadic relationships.
  • Validating data from couples (e.g., same-sex male couples) presents unique challenges.

Purpose of the Study:

  • To describe methods for verifying couples' relationships and validating dyadic data in a Web-based study.
  • To identify lessons learned for future online research involving couples.
  • To enhance screening and enrollment procedures for dyadic data collection.

Main Methods:

  • Descriptive evaluation of procedures and benchmarks for relationship verification and data validation.
  • Recruitment of same-sex male couples via social media for a Web-based HIV prevention study.
  • Assessment of paired individuals for relationship verification and data uniqueness.

Main Results:

  • 1,086 paired participants (543 couples) were enrolled after screening.
  • Relationship verification passed for 1,536 paired individuals.
  • 450 paired individuals (225 dyads) were identified as fraudulent during data validation.
  • Identified key areas for improvement: verification items, resource allocation, partner linkage, and bot handling.

Conclusions:

  • Screening procedures for couples' relationships and data were effective but resource-intensive.
  • Updating verification items may enhance future couple-based online studies.
  • Further research is needed to explore improved methods for linking and identifying partners in dyadic studies.