When Good Feelings Turn Mixed: Affective Dynamics and Big Five Trait Predictors of Mixed Emotions in Daily Life

Author:

Barford Kate A.12,Koval Peter13,Kuppens Peter3,Smillie Luke D.1

Affiliation:

1. School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria Australia

2. Deakin University, Melbourne, Victoria Australia

3. University of Leuven, Leuven, Belgium

Abstract

In this study, we examine how daily life fluctuations in positive affect (PA) and negative afect (NA) relate to mixed emotions—that is, simultaneous positive and negative feelings. We utilised three experience sampling studies (total N = 275), in which participants reported their affect 10 times each day for up to 14 days. Because people generally experience fairly stable moderate levels of PA in daily life, we proposed that mixed emotions would typically occur when NA increases and overlaps with, but does not entirely eliminate, PA. Accordingly, within individuals, we found that mixed emotions in daily life were more strongly predicted by changes in NA and the occurrence of negative events than by changes in PA and positive events. At the between–person level, individuals with more variable NA, more stable PA, and higher trait Neuroticism scores experienced higher average levels of mixed emotions. Further, we found evidence that the average magnitude of NA increases may partially mediate the association between Neuroticism and mixed emotions. We also found that positive predictors of mixed emotions are negative predictors of individuals’ within–person PA/NA correlations—that is, affective synchrony. Our findings elucidate trait predictors and affective dynamics of daily life mixed emotions, which appear closely intertwined with NA variability. © 2020 European Association of Personality Psychology

Funder

Australian Research Council

Publisher

SAGE Publications

Subject

Social Psychology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3