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Matched and Fully Private? A New Self-Generated Identification Code for School-Based Cohort Studies to Increase
Maria Calatrava1,2, Jokin de Irala1,2, Alfonso Osorio1,2,3
1Institute for Culture and Society. Universidad de Navarra, Pamplona, Navarra, Spain.
Researchers developed a new self-generated identification code (SGIC) to improve anonymity in adolescent studies. This novel SGIC demonstrated effectiveness in maintaining participant anonymity and efficiently matching data in longitudinal research.
Area of Science:
- Adolescent Health Research
- Psychological Measurement
- Data Privacy in Research
Background:
- Anonymous questionnaires are vital for sensitive adolescent research.
- Traditional self-generated identification codes (SGICs) may compromise perceived anonymity.
- Data protection laws can restrict research using conventional SGICs.
Purpose of the Study:
- To evaluate a novel self-generated identification code (SGIC) designed for enhanced anonymity in adolescent research.
- To assess the perceived anonymity and efficiency of the new SGIC in longitudinal studies.
Main Methods:
- Study 1: Assessed perceived anonymity of the new SGIC in 601 adolescents (12-18 years) using lifestyle and risk behavior questionnaires.
- Study 2: Evaluated the efficiency of the new SGIC in matching participants across two years in a school cohort (N=123 at baseline, N=116 at follow-up).
Main Results:
- Study 1 found no evidence that adolescents felt identifiable using the new SGIC.
- Study 2 indicated the new SGIC has moderate performance with acceptable recall and precision for longitudinal matching.
Conclusions:
- The novel SGIC is a promising tool for enhancing anonymity in adolescent research.
- This SGIC facilitates effective anonymous data matching in school-based longitudinal studies.
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