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首页> 外文期刊>International journal of public health >Agreement between web-based and paper versions of a socio-demographic questionnaire in the NutriNet-Sante study.
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Agreement between web-based and paper versions of a socio-demographic questionnaire in the NutriNet-Sante study.

机译:NutriNet-Sante 研究中社会人口学问卷的基于网络和纸质版本之间的一致性。

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OBJECTIVES: Web-based studies nowadays raise a major interest as they can improve all steps involved in observational studies. Our objective was to compare the web-based version of the NutriNet-Sante self-administered socio-demographic and economic questionnaire with the traditional paper version. METHODS: Both versions of the questionnaire were sent to 170 volunteers and filled in by 147 of them (either paper first, n = 76, or web-based first, n = 71). Agreement between versions was assessed by intraclass correlations (ICC) and kappas. RESULTS: Agreement between both versions was high, with ICC and kappas ranging between 0.81-1.00 and 0.76-1.00, respectively, similarly across groups of administration order, age, gender and self-estimated web knowledge in general. The web-based version was the one preferred by 93.7 of the subjects and enabled to avoid 553 missing values (2.00 of the total entries), 24 inconsistent data (0.09), 8 aberrant data (0.03), 472 data entry errors (0.85) and to save 2,800 (US Dollars 4,072) when sent to 170 subjects. CONCLUSION: The web-based socio-demographic and economic questionnaire provided information of similar-to-superior quality compared to the traditional paper version, with substantial logistic and cost advantages.
机译:目标:如今,基于网络的研究引起了人们的极大兴趣,因为它们可以改进观察性研究中涉及的所有步骤。我们的目标是将基于网络的 NutriNet-Sante 自我管理的社会人口和经济问卷与传统的纸质版本进行比较。方法:两个版本的问卷都发送给 170 名志愿者,并由其中 147 名志愿者填写(首先是纸质的,n = 76,要么是基于网络的,n = 71)。通过类内相关性 (ICC) 和 kappas 评估版本之间的一致性。结果:两个版本之间的一致性很高,ICC 和 kappas 分别在 0.81-1.00 和 0.76-1.00 之间,在管理顺序、年龄、性别和自我估计的网络知识组中相似。93.7%的受试者首选基于网络的版本,能够避免553个缺失值(占总条目的2.00%),24个不一致的数据(0.09%),8个异常数据(0.03%),472个数据输入错误(0.85%),并在发送给170名受试者时节省2,800个(4,072美元)。结论:与传统的纸质版本相比,基于网络的社会人口和经济问卷提供了质量相似或更高质量的信息,具有巨大的物流和成本优势。

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