Applications of calendar instruments in social surveys: a review.

Applications of calendar instruments in social surveys: a review.
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DOI:
10.1007/s11135-007-9129-8
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发表时间:
2009-05
期刊:
影响因子:
--
通讯作者:
van der Vaart, Wander
van der Vaart, Wander
中科院分区:
社会科学3区
文献类型:
--
作者:
Glasner, Tina;van der Vaart, Wander

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调查访谈和问卷中的回顾性报告会受到多种类型的回忆错误的影响,这些错误会影响完整性,一致性和日期准确性。对这个问题的关注导致了所谓的日历工具或时间轴技术的发展。这些辅助回忆程序的目的是帮助受访者获得更好的访问长期记忆提供了一个图形的时间框架,其中生活史信息可以表示。为了更深入地了解日历方法的潜在好处,本文介绍了日历工具的应用,其设计特点和对数据质量的影响。日历技术目前用于各种领域,包括生命历程研究、流行病学和计划生育研究。尽管人们对这些新方法越来越感兴趣,但它们的应用往往缺乏足够的理论基础,并且很少关注它们的有效性。然而,最近的几项研究表明,与更传统的调查方法相比,日历技术可以提高数据质量的某些方面。虽然日历工具已被证明可能有利于提高追溯性数据的质量,但显然需要进行方法研究,以便更系统地了解其在社会调查中的应用。
Retrospective reports in survey interviews and questionnaires are subject to many types of recall error, which affect completeness, consistency, and dating accuracy. Concerns about this problem have led to the development of so-called calendar instruments, or timeline techniques. These aided recall procedures have been designed to help respondents gain better access to long-term memory by providing a graphical time frame in which life history information can be represented. In order to obtain more insights into the potential benefits of calendar methodology, this paper presents a review of the application of calendar instruments, their design characteristics and effects on data quality. Calendar techniques are currently used in a variety of fields, including life course research, epidemiology and family planning studies. Despite the growing interest in these new methods, their application often lacks sufficient theoretical foundation and little attention has been paid to their effectiveness. Several recent studies however, have demonstrated that in comparison to more traditional survey methods, calendar techniques can improve some aspects of data quality. While calendar instruments have been shown to be potentially beneficial to retrospective data quality, there is an apparent need for methodological research that generates more systematic knowledge about their application in social surveys.
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