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Differential predictability of four dimensions of affect intensity

机译:影响强度的四个维度的差异可预测性

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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.View full textDownload full textKeywordsAffect intensity, Affect Intensity Measure, Emotion, Factor analysisRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/02699931.2011.561564
机译:影响强度的个体差异通常通过影响强度评估(AIM)进行评估。先前的因素分析表明,AIM由四个弱相关的因素组成:正情感,负反应性,负强度和正强度或宁静。但是,几乎没有数据显示其四个因素是否与其他衡量指标有足够的差异,以至于无法使用总分评分。本研究复制了四因素解决方案,发现从四个因素得出的分量表与评估人格域,情感倾向和与情绪反应相关的认知模式的标准变量具有不同的相关性。结果表明,使用总AIM得分可以模糊影响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各个AIM分量表。查看全文下载全文关键词影响强度,影响强度测度,情绪,因子分析相关变量var addthis_config = {ui_cobrand:“ Taylor&Francis Online”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/02699931.2011.561564

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