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  • 标题:The How of Survey Self-report: VAS-Likert-Slide-Swipe... Same difference?
  • 本地全文:下载
  • 作者:Luke K. Fryer ; Kaori Nakao
  • 期刊名称:Frontline Learning Research
  • 电子版ISSN:2295-3159
  • 出版年度:2020
  • 卷号:8
  • 期号:3
  • DOI:10.14786/flr.v8i3.501
  • 语种:English
  • 出版社:EARLI
  • 摘要:Self-report is a fundamental research tool for the social sciences. Despite quantitative surveys being the workhorses of the self-report stable, few researchers question their format—often blindly using some form of Labelled Categorical Scale (Likert-type). This study presents a brief review of the current literature examining the efficacy of survey formats, addressing longstanding paper-based concerns and more recent issues raised by computer- and mobile-based surveys. An experiment comparing four survey formats on touch-based devices was conducted. Differences in means, predictive validity, time to complete and centrality were compared. A range of preliminary findings emphasise the similarities and striking differences between these self-report formats. Key conclusions include: A) that the two continuous interfaces (Slide & Swipe) yielded the most robust data for predictive modelling; B) that future research with touch self-report interfaces can set aside the VAS format; C) that researchers seeking to improve on Likert-type formats need to focus on user interfaces that are quick/simple to use. Implications and future directions for research in this area are discussed.
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