ArticleEducational and psychological measurement2021
Developing and Validating a Novel Anonymous Method for Matching Longitudinal School-Based Data.
Article in Educational and psychological measurement, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Undergraduate Interprofessional Education: Protocol for a Mixed Methods Study.JMIR research protocols · 2026Article
- 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
- Evaluating Two Approaches to Matching Anonymous Survey IDs in Longitudinal Research on Sexual Assault Perpetration Among College Men.Journal of family violence · 2025Article
- Effects of an online group program based on acceptance and commitment therapy for young employees on well-being: single-case A-B design.Environmental and occupational health practice · 2025Article
- Motivation as an Axiological Factor in Learning Chinese.Journal of psycholinguistic research · 2023Article
- Matched and Fully Private? A New Self-Generated Identification Code for School-Based Cohort Studies to Increase Perceived Anonymity.Educational and psychological measurement · 2022Article
- Effects of ACT Out! Social Issue Theater on Social-Emotional Competence and Bullying in Youth and Adolescents: Cluster Randomized Controlled Trial.JMIR mental health · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent-but doing so often requires the use of anonymous data collection methods. The standard solution to this problem has been the use of a self-generated identification code. However, such codes often incorporate personalized elements (e.g., birth month, middle initial) that, even when meeting the technical standard for anonymity, may raise concerns among both youth participants and their parents, potentially altering willingness to participate, response quality, or generating outrage. There may be value, therefore, in developing a self-generated identification code and matching approach that not only is technically anonymous but also appears anonymous to a research-naive individual. This article provides a proof of concept for a novel matching approach for school-based longitudinal data collection that potentially accomplishes this goal.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.