有效地揭穿误导性图表:受过职业教育的年轻人如何看待图表
Winnifred Wijnker1, Peter Burger2, Ionica Smeets3
1Research groups Qualitative Journalism in Digital Transition and Human Experience & Media Design, Utrecht University of Applied Sciences, Utrecht, the Netherlands.
PloS one
|February 9, 2026
概括
纠正误导性图表有助于年轻人,特别是那些在职业教育中的人,更好地理解数据. 原始风格和简化校正都同样有效,提供了学习效益.
科学领域:
- 数据可视化素养 数据可视化素养
- 认知心理学 认知心理学
- 教育研究教育研究
背景情况:
- 误导性的图表会扭曲数据的解释.
- 有职业教育的年轻人容易受到误导.
- 对这个人口群体的图形校正的研究是有限的.
研究的目的:
- 研究有效的方法来纠正误导性的图表.
- 比较完整设计与清洁设计纠正的影响.
- 评估图形校正对职业学生数据解释的影响.
主要方法:
- 混合方法方法结合了定性大声思考任务 (n=10) 和定量调查 (n=130).
- 数据收集发生在2023年4月至2023年10月之间.
- 专注于了解职业学生如何处理和解释图形数据.
主要成果:
- 职业学生使用计算和估计,受环境的影响,挑战先前的研究.
- 图形校正有效地减少了误导性影响.
- 纠正显示了学习效应,提高了对未来误导性图形的抵抗力.
- 在完整设计和清洁设计纠正之间没有发现显著差异.
结论:
- 对有职业教育的年轻成年人来说,图形校正是有益的.
- 简化和原始风格的纠正都是有效的.
- 干预措施可以提高数据素养,并降低这一群体对错误信息的敏感性.
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