Han Christie S Y, Parsons-Smith Renée L, Terry Peter C
School of Psychology and Counselling, University of Southern Queensland, Toowoomba, QLD, Australia.
School of Social Sciences, University of the Sunshine Coast, Sippy Downs, QLD, Australia.
Front Psychol. 2020 Apr 9;11:665. doi: 10.3389/fpsyg.2020.00665. eCollection 2020.
Mood profiling is a popular method of quantifying and classifying feeling states. Previous research has identified several novel mood profiles in predominantly Western English-speaking populations (Parsons-Smith et al., 2017), and replicated the findings in the domain of sport and exercise (Quartiroli et al., 2018; Terry and Parsons-Smith, 2019). The aim of the current study was to investigate if six hypothesized clusters of mood responses were evident in a population of English-speaking sport and non-sport participants in Singapore. A seeded k-means cluster analysis was applied to the mood responses of 1,444 participants (991 male, 440 female, 13 unspecified; aged 18-65 years) who completed the Brunel Mood Scale (BRUMS; Terry et al., 1999, 2003a). The six hypothesized mood profiles (i.e., iceberg, inverse Everest, inverse iceberg, shark fin, submerged, and surface profiles) were identified clearly. Chi-squared analyses showed unequal distribution of the profiles by gender, age group, ethnicity, education level, and sport participation. Findings support the cross-cultural generalizability of the six mood profiles in English-speaking sport and non-sport samples in Singapore and contribute to investigation into the antecedents, correlates, and consequences of each mood profile.
情绪剖析是一种量化和分类情绪状态的常用方法。先前的研究已经在以英语为主要语言的西方人群中识别出了几种新的情绪类型（帕森斯 - 史密斯等人，2017年），并在体育和运动领域重复了这些发现（夸蒂罗利等人，2018年；特里和帕森斯 - 史密斯，2019年）。本研究的目的是调查在新加坡说英语的体育参与者和非体育参与者群体中，六种假设的情绪反应集群是否明显。对1444名完成布鲁内尔情绪量表（BRUMS；特里等人，1999年，2003a）的参与者（991名男性，440名女性，13名未指明；年龄在18 - 65岁之间）的情绪反应进行了种子k均值聚类分析。六种假设的情绪类型（即冰山型、倒珠峰型、倒冰山型、鲨鱼鳍型、淹没型和表面型）被清晰地识别出来。卡方分析表明，这些类型在性别、年龄组、种族、教育水平和体育参与方面分布不均。研究结果支持了这六种情绪类型在新加坡说英语的体育和非体育样本中的跨文化普遍性，并有助于对每种情绪类型的前因、相关因素和后果进行调查。
