ArticlePrevention science : the official journal of the Society for Prevention Research2014
Self-generated identification codes in longitudinal prevention research with adolescents: a pilot study of matched and unmatched subjects.
Article in Prevention science : the official journal of the Society for Prevention Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- 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
- Camaraderie: Profession-Specific Facilitated Small Groups to Improve Well-Being in Health Care.Mayo Clinic proceedings. Innovations, quality & outcomes · 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
- Collecting quantitative experimental data from a non-WEIRD population: challenges and practical recommendations from a field experiment in rural Sierra Leone.BMC research notes · 2021Article
- Using Security Questions to Link Participants in Longitudinal Data Collection.Prevention science : the official journal of the Society for Prevention Research · 2020Article
- Development of the eTAP: A brief measure of attitudes and process in e-interventions for mental health.Internet interventions · 2019Article
- A Successful Strategy for Linking Anonymous Data from Students' and Parents' Questionnaires Using Self-Generated Identification Codes.Prevention science : the official journal of the Society for Prevention Research · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Self-generated identification codes (SGICs) are an increasingly utilized methodological feature of longitudinal prevention research among adolescents. This study sought to test the differences between the matched and unmatched groups at baseline on a number of background, health, and well-being and risk behavior measures in a prevention study among 13- to 16-year-old Icelandic adolescents where a SGIC was constructed and used to link individual-level respondent data over two data collection points one year apart. We use pilot data from two Reykjavik city secondary schools collected as part of the population study Youth in Iceland in February 2010 and 2011 (N = 366, SGIC matching rate 61%). Baseline results for the matched and unmatched participants are compared. Findings indicate that the unmatched subjects are both more likely to be substance users than their matched counterparts as well as being more likely to be boys and/or from disrupted families. Five out of the seven scaled measures for risk and protective factors and personality indicators reveal no difference between the matched and unmatched subjects and the significantly different measures reveal small effect sizes between the two groups. However, the effect sizes for substance use are significantly different between the matched and unmatched groups for all seven substance use measures with effect sizes from 0.52 to 1.32. These findings therefore indicate that the measurement validity of adolescent risk behaviors such as substance use may be put in jeopardy when using SGIC and that unmatched subjects may be more likely to distrust the SGIC process.
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Registered trials
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