Developing a Framework for the Examination of Anchoring Vignette Assumptions Using Cognitive Interviews: A Demonstration in the ICT Skills Domain

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY Field Methods Pub Date : 2021-02-11 DOI:10.1177/1525822X21991281
H. Vonková, Jan Hrabák, K. Kráľová, Ondrej Papajoanu
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引用次数: 2

Abstract

Self-assessment measures are commonly used in questionnaire surveys. However, one of the problems with self-reports is that they may be prone to differences in scale usage among respondents. The anchoring vignette method addresses this issue. It relies on two assumptions: response consistency and vignette equivalence. Here we aim to develop a framework for the examination of these assumptions using cognitive interviews and demonstrate it in the Information and Communications Technology (ICT) skills domain. First, we develop new anchoring vignettes describing various ICT skill domains. Second, we examine both assumptions using cognitive interviews with students who are studying different fields. Our analysis shows that the assumptions are indeed not adhered to, especially the assumption of vignette equivalence. Third, we develop a general framework for the examination of the method’s assumptions.
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开发一个使用认知访谈来检查锚定Vignette假设的框架:ICT技能领域的演示
自我评估措施通常用于问卷调查。然而,自我报告的一个问题是,受访者之间的量表使用可能存在差异。锚定渐晕方法解决了这个问题。它依赖于两个假设:响应一致性和渐晕等效性。在这里,我们的目标是使用认知访谈来开发一个框架来检查这些假设,并在信息和通信技术(ICT)技能领域进行演示。首先,我们开发了新的锚定小插曲,描述了各种信息和通信技术技能领域。其次,我们通过对学习不同领域的学生进行认知访谈来检验这两种假设。我们的分析表明,这些假设确实没有得到遵守,尤其是小插曲等价的假设。第三,我们开发了一个通用框架来检查该方法的假设。
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来源期刊
Field Methods
Field Methods Multiple-
CiteScore
2.70
自引率
5.90%
发文量
41
期刊介绍: Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
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