Replication Data for: A Meta-Analytic Assessment of the Effects of Emotions on Political Information Search and Decision Making
收藏NIAID Data Ecosystem2026-05-01 收录
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https://doi.org/10.7910/DVN/VULKLW
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资源简介:
With increasing interest in the role of emotions in politics across the discipline, we review theoretical and methodological approaches utilized by political psychologists. Though theorists have been highlighting the role of emotions in politics for thousands of years, modern political psychologists primarily employ Marcus, Neuman, and MacKuen’s affective intelligence theory to grapple with the consequences of emotions for political attitudes and behavior. We present results from a formal meta-analytic assessment exploring the strength of the empirical evidence for the relationship between emotions, and political information search and decision strategies. Overall, we find weak but statistically reliable evidence linking anger, anxiety, and enthusiasm to information search when search is self-reported, but when information search is objectively measured, we find no link between it and anxiety or enthusiasm. Surprisingly, we also find little reliable evidence linking emotions to differential reliance on heuristics or more evidence-based criteria in voter decision making.
随着学界对情绪在政治中所扮演角色的关注度与日俱增,我们对政治心理学家所采用的理论与方法论路径展开了综述。尽管数千年来理论家们始终强调情绪在政治中的作用,但当代政治心理学家主要依托马库斯(Marcus)、纽曼(Neuman)与麦库恩(MacKuen)提出的情感智能理论,来探究情绪对政治态度与行为产生的影响。我们呈现了一项正式元分析评估的结果,该评估旨在探究情绪与政治信息搜索、决策策略之间关联的实证证据强度。总体而言,当信息搜索采用自我报告方式进行测量时,我们发现愤怒、焦虑与热情和信息搜索之间存在微弱但统计上可靠的关联证据;而当信息搜索通过客观方式测量时,则未发现其与焦虑或热情存在任何关联。令人意外的是,我们还发现,几乎没有可靠证据表明情绪会影响选民在决策时对启发式策略或更具实证依据的评判标准的差异化依赖。
创建时间:
2023-07-06



