在美国大概率样本中,数值能力和政治动机推理之间没有关联
Michael N Stagnaro1, Ben M Tappin1, David G Rand1
1Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142.
概括
这项研究挑战了动机系统2推理理论. 更高的计算能力,而不是政治身份,在有争议的问题上提高了分析推理的准确性.
科学领域:
- 认知心理学 认知心理学
- 政治心理学 政治心理学
- 行为经济学是一种行为经济学.
背景情况:
- 动机系统2推理理论认为,在意识形态问题上,分析推理被政治认同所偏.
- 这一理论表明,当他们的信仰受到挑战时,具有更高推理能力的个人可能会变得更加两极分化,不准确.
研究的目的:
- 实证测试动机系统2推理理论的核心预测.
- 研究分析推理和政治认同对有关意识形态信息准确性的影响.
主要方法:
- 利用了美国成年人的大型,全国代表性的概率样本.
- 评估了参与者的分析推理能力 (数值) 和政治信仰.
- 检查了参与者在评估与有争议问题相关的应急表中的准确性.
主要成果:
- 在五个有争议的问题上,未能复制动机系统2推理理论的关键实证支持.
- 虽然政治倾向对准确性产生了轻微影响,但更高的计算能力始终预测了评估信息的更高准确性,无论政治倾向如何.
- 发现,拥有较高数理能力的个人在评估数据时更准确,无论这些数据是否支持他们的政治观点.
结论:
- 这些发现挑战了政治认同从根本上劫持分析推理 (系统2推理) 的概念.
- 在意识形态问题的背景下,数理似乎比政治身份更强大地预测准确的分析推理.
- 表明需要重新考虑身份对分析推理过程的普遍影响.
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