Using Eye-Tracking Methodology to Study Grid Question Designs in Web Surveys

IF 0.5 4区 数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS
C. Neuert, Joss Roßmann, Henning Silber
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引用次数: 0

Abstract

Abstract Grid questions are frequently employed in web surveys due to their assumed response efficiency. In line with this, many previous studies have found shorter response times for grid questions compared to item-by-item formats. Our contribution to this literature is to investigate how altering the question format affects response behavior and the depth of cognitive processing when answering both grid question and item-by-item formats. To answer these questions, we implemented an experiment with three questions in an eye-tracking study. Each question consisted of a set of ten items which respondents answered either on a single page (large grid), on two pages with five items each (small grid), or on ten separate pages (item-by-item). We did not find substantial differences in cognitive processing overall, while the processing of the question stem and the response scale labels was significantly higher for the item-by-item design than for the large grid in all three questions. We, however, found that when answering an item in a grid question, respondents often refer to surrounding items when making a judgement. We discuss the findings and limitations of our study and provide suggestions for practical design decisions.
用眼动追踪方法研究网络调查中的网格问题设计
摘要网格问题由于其假定的响应效率而经常在网络调查中使用。与此相一致,许多先前的研究发现,与逐项格式相比,网格问题的回答时间更短。我们对这篇文献的贡献是研究在回答网格问题和逐项格式时,改变问题格式如何影响反应行为和认知处理的深度。为了回答这些问题,我们在眼动追踪研究中用三个问题进行了实验。每个问题由十个项目组成,受访者在一页(大网格)、两页(每个五个项目)或十页(逐项)上回答。总体而言,我们没有发现认知处理的实质性差异,而在所有三个问题中,逐项设计的题干和回答量表标签的处理明显高于大网格。然而,我们发现,在回答网格问题中的一个项目时,受访者在做出判断时经常会参考周围的项目。我们讨论了我们研究的发现和局限性,并为实际的设计决策提供了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Official Statistics
Journal of Official Statistics STATISTICS & PROBABILITY-
CiteScore
1.90
自引率
9.10%
发文量
39
审稿时长
>12 weeks
期刊介绍: JOS is an international quarterly published by Statistics Sweden. We publish research articles in the area of survey and statistical methodology and policy matters facing national statistical offices and other producers of statistics. The intended readers are researchers or practicians at statistical agencies or in universities and private organizations dealing with problems which concern aspects of production of official statistics.
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