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A classification of response scale characteristics that affect data quality: a literature review

机译:影响数据质量的响应量表特征的分类:文献综述

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摘要

Quite a lot of research is available on the relationships between survey response scales’ characteristics and the quality of responses. However, it is often difficult to extract practical rules for questionnaire design from the wide and often mixed amount of empirical evidence. The aim of this study is to provide first a classification of the characteristics of response scales, mentioned in the literature, that should be considered when developing a scale, and second a summary of the main conclusions extracted from the literature regarding the impact these characteristics have on data quality. Thus, this paper provides an updated and detailed classification of the design decisions that matter in questionnaire development, and a summary of what is said in the literature about their impact on data quality. It distinguishes between characteristics that have been demonstrated to have an impact, characteristics for which the impact has not been found, and characteristics for which research is still needed to make a conclusion.
机译:关于调查回应量表的特征与回应质量之间的关系,可以进行很多研究。但是,通常难以从大量的经验证据中提取出问卷设计的实用规则。这项研究的目的是首先提供文献中提到的应对量表特征的分类,在制定量表时应予以考虑,其次总结从文献中得出的关于这些特征产生的影响的主要结论的摘要。关于数据质量。因此,本文提供了对调查表开发中重要的设计决策的更新和详细分类,并总结了有关其对数据质量影响的文献中所说的内容。它区分了已证明具有影响力的特征,尚未发现影响的特征以及仍需进行研究才能得出结论的特征。

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