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The use of self-generated identification codes in longitudinal research
Leo A Yurek1, Joseph Vasey, Donna Sullivan Havens
1University of North Carolina at Chapel Hill, USA.
Evaluation Review
|May 15, 2008
Summary
Subject-generated identification codes enable anonymous tracking of respondents in longitudinal research. This method is crucial for matching data across multiple time points to accurately measure changes over time.
Area of Science:
- Health Services Research
- Nursing Research
- Methodology
Background:
- Longitudinal research designs require tracking the same individuals over time.
- Identifying respondents anonymously is essential for maintaining data integrity.
- Previous methods may lack efficiency or anonymity in longitudinal studies.
Purpose of the Study:
- To describe the evolution and application of subject-generated identification codes.
- To present techniques for enhancing respondent match rates in longitudinal studies.
- To discuss the utility and challenges of using these codes in nursing research.
Main Methods:
- Review of the development of subject-generated identification codes.
- Description of strategies to improve respondent identification across data collection points.
- Case study of implementation in a longitudinal study of hospital staff registered nurses.
Main Results:
- Subject-generated codes offer an anonymous method for respondent tracking.
- Specific techniques can significantly improve the rate of matching respondents over time.
- The study provides practical insights from real-world application in nursing.
Conclusions:
- Subject-generated identification codes are a valuable tool for longitudinal research.
- Optimizing match rates is key to successful long-term respondent tracking.
- This methodology supports robust data collection for understanding changes in healthcare professionals over time.
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