The quality of fertility data in the web-based Generations and Gender Survey

IF 2 3区 社会学 Q2 DEMOGRAPHY Demographic Research Pub Date : 2023-07-06 DOI:10.4054/demres.2023.49.3
Victor Antunes Leocádio, Anne H. Gauthier, M. Mynarska, Rafael Costa
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Abstract

BACKGROUND The Generations and Gender Survey (GGS) enables investigating family-related events from a life course perspective. After its first round of face-to-face implementation, various factors resulted in the second round being implemented on the web. Despite its advantages, implementing a web-based GGS has its drawbacks ‒ for instance, possible misreporting, and especially underreporting, of life history variables due to the lack of on-site guidance. OBJECTIVE To assess the quality of GGS second-round data collected through the web by verifying the accuracy of fertility histories.
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基于网络的世代与性别调查中生育数据的质量
背景世代与性别调查(GGS)能够从生命历程的角度调查家庭相关事件。在第一轮面对面实施之后,各种因素导致第二轮在网络上实施。尽管有其优点,但实现基于web的GGS也有其缺点——例如,由于缺乏现场指导,可能会误报,特别是少报生活史变量。目的通过验证生育史数据的准确性,评价通过网络采集的GGS第二轮数据的质量。
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来源期刊
Demographic Research
Demographic Research DEMOGRAPHY-
CiteScore
3.90
自引率
4.80%
发文量
63
审稿时长
28 weeks
期刊介绍: Demographic Research is a free, online, open access, peer-reviewed journal of the population sciences published by the Max Planck Institute for Demographic Research in Rostock, Germany. The journal pioneers an expedited review system. Contributions can generally be published within one month after final acceptance.
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