认知支持政治党派对政策数据的理解
Shuyuan Yu1,2, John E Opfer2
1Department of Cognitive Science, Carleton University, Ottawa, Ontario, Canada.
PloS one
|October 15, 2024
概括
政治党派主义可能会影响推理,但像数字线这样的认知辅助工具可以提高成年人对数据的解释准确性. 这项研究探讨了动机化的计算能力,并发现数列在政策数据分析中提高了客观性.
科学领域:
- 认知心理学 认知心理学
- 政治科学是政治学中的一个领域.
- 行为经济学是一种行为经济学.
背景情况:
- 政治党派主义可能会导致有动机的计算能力,个人选择性地使用支持他们的意识形态的数字进行推理.
- 有动机的计算能力的可复制性和认知支持对党派推理的影响需要研究.
研究的目的:
- 为了检查成年人激励数学的可复制性.
- 为了调查认知支持,如数字线,可以改善政治党派的推理.
- 评估数据呈现格式 (表格与数字行) 对意识形态相关和无关信息解释的影响.
主要方法:
- 一项预先注册的研究,涉及1000名成年人,评估政治意识形态和数据解释技能.
- 参与者解释了关于意识形态相关 (枪支管制) 和无关 (皮肤奶油) 问题的虚构数据.
- 数据以表格或数列格式呈现.
主要成果:
- 使用政治身份作为一个因素时,没有复制动机计算能力,但在使用先前态度时观察到.
- 数字行上呈现的数据与表格相比,准确度提高了75%
- 这种准确度的提高在意识形态相关和无关信息中是一致的,无论它是否支持或与参与者的政治观点相矛盾.
结论:
- 政治党派可能需要认知支持,以便在解释政策数据时实现更大的客观性.
- 数字线作为一种有效的认知工具,可以提高准确的数据解释,减轻偏见.
- 了解有动机的计算能力和有效的数据可视化对于知情的公共话语和政策评估至关重要.
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