Mood profiling in Singapore: cross-cultural validation and potential applications of mood profile clusters
Article
Article Title | Mood profiling in Singapore: cross-cultural validation and potential applications of mood profile clusters |
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ERA Journal ID | 123048 |
Article Category | Article |
Authors | Han, Christie S. Y. (Author), Parsons-Smith, Renee L. (Author) and Terry, Peter C. (Author) |
Journal Title | Frontiers in Psychology |
Journal Citation | 11, pp. 1-9 |
Article Number | 665 |
Number of Pages | 9 |
Year | 2020 |
Publisher | Frontiers Media SA |
Place of Publication | Switzerland |
ISSN | 1664-1078 |
Digital Object Identifier (DOI) | https://doi.org/10.3389/fpsyg.2020.00665 |
Web Address (URL) | https://www.frontiersin.org/articles/10.3389/fpsyg.2020.00665/full |
Abstract | 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. |
Keywords | affect, emotion, cluster analysis, mood profiling, BRUMS |
ANZSRC Field of Research 2020 | 520107. Sport and exercise psychology |
Byline Affiliations | School of Psychology and Counselling |
Centre for Health Research | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q60x8/mood-profiling-in-singapore-cross-cultural-validation-and-potential-applications-of-mood-profile-clusters
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