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与爱情光谱相关概念的结构:情感语言流畅性技术应用、初步心理测量学及其验证

The Structure of the Concepts Related to Love Spectrum: Emotional Verbal Fluency Technique Application, Initial Psychometrics, and Its Validation.

作者信息

Gawda Barbara

机构信息

Department of Psychology of Emotion and Cognition, Institute of Psychology, Maria Curie-Skłodowska University, Plac Litewski 5, 20-080, Lublin, Poland.

出版信息

J Psycholinguist Res. 2019 Dec;48(6):1339-1361. doi: 10.1007/s10936-019-09661-y.

Abstract

Love has been thoroughly studied and a variety of definitions as well as types of love have been described in the literature. Given the data presenting natural language of love concept, the aim of the two present studies is to demonstrate a new technique which enables description of the structure of emotion concepts within love spectrum. This technique is based on emotional verbal fluency tasks. The procedure and the coding system used are reported in the article along with the data on reliability and standardization of the emotional verbal fluency technique. Construct validity is demonstrated by correlations of the emotional verbal fluency tasks with semantic and letter verbal fluency tasks, while discriminant validity is shown by correlations with other measures, such as the Triangular Love Scale, the Love Attitudes Scale, and the State-Trait Anxiety Inventory. The article also presents how the emotional verbal fluency technique can be used in exploring the structure of emotion concepts within love spectrum. This is based on a hierarchical cluster analysis. An examination of connections between semantic clusters identified in the emotional verbal fluency tasks allows describing a structure of the concepts within love spectrum, such as liking, infatuation, love, and show of its differentiation. The presented technique taking into account natural language is of value in assessments of the structure of emotion concepts.

摘要

关于爱的研究已经十分全面,文献中也描述了各种爱的定义和类型。鉴于已有数据呈现了爱的概念的自然语言,这两项研究的目的是展示一种新技术,该技术能够描述爱的范畴内情感概念的结构。这项技术基于情感言语流畅性任务。文章中报告了所使用的程序和编码系统,以及情感言语流畅性技术的可靠性和标准化数据。情感言语流畅性任务与语义和字母言语流畅性任务的相关性证明了结构效度,而与其他测量方法(如三角爱情量表、爱情态度量表和状态-特质焦虑量表)的相关性则显示了区分效度。文章还介绍了情感言语流畅性技术如何用于探索爱的范畴内情感概念的结构。这是基于层次聚类分析。对情感言语流畅性任务中识别出的语义聚类之间的联系进行考察,可以描述爱的范畴内概念的结构,比如喜欢、迷恋、爱,并展现出其差异。所提出的考虑自然语言的技术在评估情感概念结构方面具有价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/553f/6814648/78be14eaf290/10936_2019_9661_Fig1_HTML.jpg

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