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首页> 外文期刊>Prevention science: the official journal of the Society for Prevention Research >A Successful Strategy for Linking Anonymous Data from Students' and Parents' Questionnaires Using Self-Generated Identification Codes
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A Successful Strategy for Linking Anonymous Data from Students' and Parents' Questionnaires Using Self-Generated Identification Codes

机译：使用自我产生的识别码将匿名数据联系起来的成功策略

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摘要

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.
机译：我们对儿童（N=2571，平均年龄12岁，50.4%为女性）及其父母（N=1931，平均年龄41岁，83.3%为女性）进行了一项可行性研究，并评估了其方法学性质。我们对孩子们使用了九个字符的SGIC，对父母使用了相同代码的镜像版本。生成SGIC的平均总体错误率为9.7%（父母为4.0%，孩子为13.9%）。我们能够将总共1765个父母和孩子的代码（占所有可能的二元码的94.9%）与任何四个字符的组合以及“学校”变量的使用唯一地联系起来。仅使用SGIC链接的整体匹配质量的特点是精度（阳性预测值）为0.979，召回率（灵敏度、真阳性率）为0.934，F-测量值（精度和召回的调和平均值）为0.956。通过对二人组中不同角色的分析，发现祖母的名字和眼睛颜色是最常变化的。这项研究首次考察了在预防研究中将不同受试者联系成二元关系时的SGIC匹配率以及错误和遗漏率。我们确定了大量独特的儿童-父母匹配，同时保证参与者的匿名性。我们提供的证据表明，我们的SGIC是一个适用于组间联系程序的工具，匹配率非常高，同时在基于学校的预防研究样本中保持匿名。

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