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Related Experiment Videos

An evaluation of a self-generated identification code.

C DiIorio1, J E Soet, D Van Marter

  • 1Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.

Research in Nursing & Health
|April 27, 2000
PubMed
Summary
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Researchers developed a self-generated coding form to track college students' HIV prevention practices anonymously over three years. The form successfully matched over 73% of questionnaires, aiding longitudinal HIV research.

Area of Science:

  • Public Health
  • Behavioral Science
  • Epidemiology

Background:

  • Longitudinal studies are crucial for understanding changes in health behaviors over time.
  • Maintaining participant anonymity while ensuring data linkage is a common challenge in health research.
  • Previous methods for tracking participants in long-term studies have limitations.

Purpose of the Study:

  • To describe a novel self-generated coding form for anonymous data matching in a college student HIV prevention study.
  • To evaluate the success rate of this self-generated coding form in matching questionnaires over a three-year period.
  • To identify characteristics of participants whose data could be successfully matched.

Main Methods:

  • A longitudinal study design was employed, collecting data from college students over three years.

Related Experiment Videos

  • Participants completed a self-generated identification form at each data collection point to ensure anonymity and facilitate matching.
  • The success rate of matching questionnaires between consecutive years was calculated using elements from the self-generated form.

    • Main Results:

    • In the second year, 74.3% of questionnaires were successfully matched to the first year's data.
    • In the third year, 73% of questionnaires were successfully matched to the second year's data.
    • Matched participants were more likely to be white, underclassmen students compared to unmatched participants.

    Conclusions:

    • The self-generated coding form is an effective tool for maintaining data linkage in longitudinal studies while preserving participant anonymity.
    • This method facilitates the study of HIV prevention practices among college students.
    • Demographic factors may influence the success rate of data matching in such studies.