4.5 Article

The Jingle and Jangle of Emotion Assessment: Imprecise Measurement, Casual Scale Usage, and Conceptual Fuzziness in Emotion Research

期刊

EMOTION
卷 17, 期 2, 页码 267-295

出版社

AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/emo0000226

关键词

affect; emotion; measurement; mood; self-report

资金

  1. Social Sciences Research Council of Canada [410-2009-2458]
  2. Michael Smith Foundation for Health Research Scholar Award [CI-SCH-01862(07-1)]
  3. Canadian Institute for Health Research New Investigator Award

向作者/读者索取更多资源

Although affective science has seen an explosion of interest in measuring subjectively experienced distinct emotional states, most existing self-report measures tap broad affect dimensions and dispositional emotional tendencies, rather than momentary distinct emotions. This raises the question of how emotion researchers are measuring momentary distinct emotions in their studies. To address this question, we reviewed the self-report measurement practices regularly used for the purpose of assessing momentary distinct emotions, by coding these practices as observed in a representative sample of articles published in Emotion from 2001-2011 (n = 467 articles; 751 studies; 356 measurement instances). This quantitative review produced several noteworthy findings. First, researchers assess many purportedly distinct emotions (n = 65), a number that differs substantially from previously developed emotion taxonomies. Second, researchers frequently use scales that were not systematically developed, and that include items also used to measure at least 1 other emotion on a separate scale in a separate study. Third, the majority of scales used include only a single item, and had unknown reliability. Together, these tactics may create ambiguity regarding which emotions are being measured in empirical studies, and conceptual inconsistency among measures of purportedly identical emotions across studies. We discuss the implications of these problematic practices, and conclude with recommendations for how the field might improve the way it measures emotions.

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