ArticlePrevention science : the official journal of the Society for Prevention Research2017
A Successful Strategy for Linking Anonymous Data from Students' and Parents' Questionnaires Using Self-Generated Identification Codes.
Article in Prevention science : the official journal of the Society for Prevention Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Mental Health and Health-Related Behavioral Patterns Surrounding a Major International Sporting Event: An Observational Study.Diseases (Basel, Switzerland) · 2026Article
- Understanding adolescent mental health symptom progression in school-based settings: The Substance Use and Risk Factors (SURF) longitudinal survey.School psychology (Washington, D.C.) · 2025Article
- Using self-generated identification codes to match anonymous longitudinal data in a sexual health study of secondary school students: a cohort study.BMC medical informatics and decision making · 2025Article
- Matched and Fully Private? A New Self-Generated Identification Code for School-Based Cohort Studies to Increase Perceived Anonymity.Educational and psychological measurement · 2022Article
- Measuring Parental Behavior towards Children's Use of Media and Screen-Devices: The Development and Psychometrical Properties of a Media Parenting Scale for Parents of School-Aged Children.International journal of environmental research and public health · 2021Article
- Developing and Validating a Novel Anonymous Method for Matching Longitudinal School-Based Data.Educational and psychological measurement · 2021Article
- CANDIDATE: A tool for generating anonymous participant-linking IDs in multi-session studies.PloS one · 2021Article
- The effects of parental control and warmth on problematic internet use in adolescents: A prospective cohort study.Journal of behavioral addictions · 2020Article
- Exploring Health Literacy in Individuals with Alcohol Addiction: A Mixed Methods Clinical Study.International journal of environmental research and public health · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We conducted a feasibility study for matching children (N = 2571, average age 12 years, 50.4% female) and their parents (N = 1931, average age 41 years, 83.3% female) represented by an anonymous self-generated identification code (SGIC) and assessed its methodological properties. We used a nine-character SGIC with the children and a mirrored version of the same code with the parents. The average overall error rate in generating the SGIC was 9.7% (4.0% in the parents and 13.9% in the children). We were able to link a total of 1765 parents' and children's codes uniquely (94.9% of all possible dyads) with any four-character combination and the employment of the "school" variable. The overall matching quality of linking using the SGIC only is characterized by precision (positive predictive value) of 0.979, recall (sensitivity, true positive rate) of 0.934, and an F-measure (harmonic mean of precision and recall) of 0.956. The analysis of the discrepant characters in the dyads identified the paternal grandmother's name and eye color as those varying most often. This study is the first to look at SGIC match rates and error and omission rates in linking different subjects into dyads in prevention research. We identified a high number of unique child-parent matches while guaranteeing anonymity to the participants. We provided evidence that our SGIC is a suitable tool for between-group linking procedures and has a highly successful matching rate, while maintaining anonymity in the school-based prevention study samples.
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Registered trials
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