影响强度四个维度的差异预测性。
Differential predictability of four dimensions of affect intensity.
机构信息
Department of Psychology and Neuroscience, Duke University, Durham, NC 27708-0086, USA.
出版信息
Cogn Emot. 2012;26(1):25-41. doi: 10.1080/02699931.2011.561564. Epub 2011 Jun 27.
Abstract
Individual differences in affect intensity are typically assessed with the Affect Intensity Measure (AIM). Previous factor analyses suggest that the AIM is comprised of four weakly correlated factors: Positive Affectivity, Negative Reactivity, Negative Intensity and Positive Intensity or Serenity. However, little data exist to show whether its four factors relate to other measures differently enough to preclude use of the total scale score. The present study replicated the four-factor solution and found that subscales derived from the four factors correlated differently with criterion variables that assess personality domains, affective dispositions, and cognitive patterns that are associated with emotional reactions. The results show that use of the total AIM score can obscure relationships between specific features of affect intensity and other variables and suggest that researchers should examine the individual AIM subscales.
摘要
个体情感强度差异通常采用情感强度量表（AIM）进行评估。先前的因子分析表明，AIM 由四个弱相关的因素组成：积极情感、消极反应性、消极强度和积极强度或宁静。然而，几乎没有数据表明它的四个因素与其他测量方法的关系是否足够不同，以至于不能使用总评分。本研究复制了四因素解决方案，并发现从四个因素中得出的子量表与评估人格领域、情感倾向和与情绪反应相关的认知模式的标准变量的相关性不同。结果表明，使用总 AIM 评分可能会掩盖情感强度的特定特征与其他变量之间的关系，并建议研究人员应检查个体 AIM 子量表。
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