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匹配且完全私密?一种用于学校队列研究的新的自我生成识别码,以增强可感知的匿名性。

Matched and Fully Private? A New Self-Generated Identification Code for School-Based Cohort Studies to Increase Perceived Anonymity.

作者信息

Calatrava Maria, de Irala Jokin, Osorio Alfonso, Benítez Edgar, Lopez-Del Burgo Cristina

机构信息

Institute for Culture and Society. Universidad de Navarra, Pamplona, Navarra, Spain.

Navarra Institute for Health Research, Pamplona, Navarra, Spain.

出版信息

Educ Psychol Meas. 2022 Jun;82(3):465-481. doi: 10.1177/00131644211035436. Epub 2021 Aug 12.

Abstract

Anonymous questionnaires are frequently used in research with adolescents in order to obtain sincere answers about sensitive topics. Most longitudinal studies include self-generated identification codes (SGICs) to match information. Typical elements include a combination of letters and digits from personal data. However, these data may make the participant feel that their answers are not truly anonymous, and some studies using these types of SGICs have been perceived as not entirely anonymous by some participants. Furthermore, data protection laws could place limits on research carried out with these codes. The objective of our article is to test an SGIC with a higher degree of anonymity. We conducted two studies. In Study 1, we tested the perceived anonymity of this new SGIC code. Adolescents aged 12 to 18 years ( = 601) completed an anonymous questionnaire about lifestyles and risk behaviors, which also included the SGIC. Adolescents with and without risk behaviors were compared regarding whether or not they answered to the SGIC questions. We did not find any differences to suggest that participants felt identifiable. In Study 2, we assessed the efficiency of the new SGIC. At baseline, 123 students from two high schools (eighth grade) filled in questionnaires consisting of the new SGIC and their full names. Two years later, these same students (then in the 10th grade) were invited to fill in the same information again (116 students responded to this second call). A total of 97 students were present in both waves. The SGIC showed a moderate performance, with good enough indices of recall and precision. Evidence suggests that the new SGIC is a suitable tool for the anonymous matching of adolescents in follow-ups of school cohorts.

摘要

在针对青少年的研究中,匿名问卷经常被用于获取有关敏感话题的真实答案。大多数纵向研究都包含自我生成的识别码(SGICs)以匹配信息。典型元素包括来自个人数据的字母和数字组合。然而,这些数据可能会让参与者觉得他们的答案并非真正匿名,一些使用这类SGICs的研究被一些参与者认为并非完全匿名。此外,数据保护法可能会对使用这些代码进行的研究加以限制。我们文章的目的是测试一种具有更高匿名程度的SGIC。我们进行了两项研究。在研究1中,我们测试了这种新SGIC代码的匿名感知情况。12至18岁的青少年(n = 601)完成了一份关于生活方式和风险行为的匿名问卷,问卷中也包含了SGIC。比较了有和没有风险行为的青少年对SGIC问题的回答情况。我们没有发现任何差异表明参与者觉得自己可被识别。在研究2中,我们评估了新SGIC的效率。在基线时,来自两所高中(八年级)的123名学生填写了包含新SGIC和他们全名的问卷。两年后,邀请这些相同的学生(当时为十年级)再次填写相同信息(116名学生回应了第二次邀请)。两波调查中共有97名学生参与。SGIC表现适中,具有足够好的召回率和精确率指标。有证据表明,新SGIC是在学校队列随访中对青少年进行匿名匹配的合适工具。

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本文引用的文献

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Developing and Validating a Novel Anonymous Method for Matching Longitudinal School-Based Data.
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Eval Program Plann. 2020 Feb 25;80:101794. doi: 10.1016/j.evalprogplan.2020.101794.
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The use of self-generated identification codes in longitudinal research.
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Testing anonymous link procedures for follow-up of adolescents in a school-based trial: the EU-DAP pilot study.
Prev Med. 2007 Feb;44(2):174-7. doi: 10.1016/j.ypmed.2006.07.019. Epub 2006 Sep 18.

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