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Related Experiment Videos

Identifying multiple submissions in Internet research: preserving data integrity.

Anne M Bowen1, Candice M Daniel, Mark L Williams

  • 1Department of Psychology, University of Wyoming, Laramie, WY 82071, USA. abowen@uwyo.edu

AIDS and Behavior
|February 2, 2008
PubMed
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Detecting repeat responders in online research is crucial. Internet Protocol (IP) addresses and user data help identify multiple submissions, with incentives potentially increasing repeat responses.

Area of Science:

  • Social Sciences
  • Computer Science
  • Public Health

Background:

  • Internet-based research offers anonymity for hidden populations.
  • Anonymity can lead to disinhibition and multiple submissions, especially with incentives.

Purpose of the Study:

  • To assess variables for detecting repeat responders in online research.
  • To investigate the impact of incentives on multiple submissions.

Main Methods:

  • Analysis of 1,900 submissions from an internet intervention for men who have sex with men.
  • Categorization of repeat responders (infrequent, persistent, very persistent, hackers).
  • Evaluation of Internet Provider (IP) addresses, usernames, and passwords for identification.

Main Results:

Related Experiment Videos

  • IP addresses, usernames, and passwords effectively identified infrequent repeat responders.
  • "Hackers" used varied information; IP variations and pattern analysis were key detection methods.
  • Incentives appeared to encourage multiple submissions, particularly from sophisticated "hackers".

Conclusions:

  • Robust methods are needed to detect and deter repeat submissions in online research.
  • Continuous adaptation of detection strategies is necessary to counter evolving "hacker" tactics.
  • Understanding repeat responder behavior is vital for data integrity in sensitive online studies.