有动机的推理,快和慢

IF 5.1 Q1 PSYCHOLOGY, APPLIED Behavioural Public Policy Pub Date : 2021-12-01 DOI:10.1017/bpp.2021.34
Camilla Strömbäck, David Andersson, D. Västfjäll, G. Tinghög
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引用次数: 7

摘要

与进行分析性思考相比,人们是否更有可能(错误地)解释信息,使其与自己的意识形态认同相一致?还是相反:深思熟虑是否会增加(错误)解释信息以确认现有政治观点的倾向?在一项行为实验中,参与者(n = 1207,瑞典样本)在有时间压力或没有时间压力的情况下评估有关性别配额和移民影响的数字信息。为了测量认知复杂程度的特征差异,我们还收集了数字能力的数据。在评估性别配额对公司财务业绩的影响和难民接收对犯罪率的影响时,我们发现了动机推理的明确证据。在劳动力市场上,把平等看得比自由更重要的人正确评估数字信息的可能性要低13个百分点,这些数字信息表明,在招聘时使用性别配额的公司利润更低。将自己归类为“瑞典人”而非“世界公民”的受试者正确评估描述移民后犯罪率下降的数字信息的可能性要低14个百分点。时间压力不影响动机推理的可能性,而具有较高数字能力的受试者在分析有关难民接收的信息时不太可能进行动机推理,但在分析有关性别配额影响的信息时更可能进行动机推理。综上所述,这些结果表明,动机推理主要是由特质层面的分析思维的个体差异驱动的,而不是由时间压力等情境因素驱动的,而且动机推理主要是由分析还是由感觉驱动取决于手头的主题。
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Motivated reasoning, fast and slow
Are people more likely to (mis)interpret information so that it aligns with their ideological identity when relying on feelings compared to when engaging in analytical thinking? Or is it the other way around: Does deliberation increase the propensity to (mis)interpret information to confirm existing political views? In a behavioral experiment, participants (n = 1207, Swedish sample) assessed numerical information concerning the effects of gender quotas and immigration either under time pressure or under no time pressure. To measure trait differences in cognitive sophistication, we also collected data on numeric ability. We found clear evidence of motivated reasoning when assessing both the effects of gender quotas on companies’ financial results and the effect of refugee intake on crime rates. Subjects who prioritized equality over liberty on the labor market were 13 percentage points less likely to correctly assess numerical information depicting that companies that used gender quotas when hiring made less profit. Subjects who classified themselves as ‘Swedes’ rather than ‘World citizens’ were 14 percentage points less likely to correctly assess numerical information depicting that crime rates decreased following immigration. Time pressure did not affect the likelihood to engage in motivated reasoning, while subjects with higher numeric ability were less likely to engage in motivated reasoning when analyzing information concerning refugee intake, but more likely to engage in motivated reasoning when analyzing information regarding the effect of gender quotas. Together these results indicate that motivated reasoning is primarily driven by individual differences in analytical thinking at the trait level and not by situational factors such as time pressure, and that whether motivated reasoning is primarily driven by analysis or feelings depends on the topic at hand.
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CiteScore
7.90
自引率
2.00%
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