用强度曲线图测量日常生活中的连续情感

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Leonie Cloos, Merijn Mestdagh, Wolf Vanpaemel, Eva Ceulemans, Peter Kuppens
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引用次数: 0

摘要

我们研究了连续的情感图画,以此创新性地测量随时间变化的情感体验。密集的纵向数据通常依赖于离散的评估,测量之间存在 "盲点"。通过连续情感图画,参与者可以直观地描述他们在两次评估之间的情感波动。在一项经验取样研究中,参与者(115 人)每天对其瞬间的积极和消极情绪进行 6 次评分。从每天的第二次评分开始,他们会额外画出自己的积极和消极情绪变化,并报告两次评估之间的情绪事件。他们每天在两次评估之间接受一次突发测量。这种方法的优势在于,在两次评估之间的线性插值点上可以获得大量的信息增益(平均为 7%)。附加信息随后被归类为积极和消极情绪峰谷,平均每人每天出现一次。检测到峰值和谷值的概率随着报告事件的增加而增加。图画与突发事件的瞬间情绪得分呈正相关。然而,图画对突发事件的预测效果较差,这表明瞬时评分可能会产生与图画不同的信息。虽然回顾性绘画的时间不如单个瞬间评估精确,但这种方法可以全面了解评估之间的情感体验,为情感动态提供了一个独特的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Continuous Affect in Daily Life With Intensity Profile Drawings.

We examined continuous affect drawings as innovative measure of affective experiences over time. Intensive longitudinal data often rely on discrete assessments, containing "blind spots" between measurements. With continuous affect drawings participants visually depict their affect fluctuations between assessments. In an experience sampling study, participants (N = 115) rated their momentary positive and negative affect 6 times daily. From the second daily rating on, they additionally drew their positive and negative affect changes and reported affective events between assessments. They received one measurement burst between assessments daily. The strength of the approach is a substantial amount of informational gain (average 7%) over linearly interpolated points between assessments. The additional information was subsequently categorized into positive and negative affect peaks and valleys, each occurring once a day per person on average. The probability of detecting peaks and valleys increased with reported events. The drawings correlated positively with momentary affect scores from the burst. Yet, the drawing predicted the bursts less well suggesting that the momentary ratings may yield different information than the drawings. Although the timing of retrospective drawings is less precise than individual momentary assessments, this method provides a comprehensive understanding of affective experiences between assessments, offering a unique perspective on affect dynamics.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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