Abstract
This paper is intended to investigate workers’ happiness and the elements of their emotional effects. This is one of the most important and fundamental area under positive psychology. In positive psychology studies, various methods have been proposed to identify happiness using subjective evaluations. However, the discussion in this study is limited to examining the relationship between workers’ general happiness index and seven emotional components that concerns happiness. Based on a sample of 9,654 respondents, this study was set out to identify whether seven emotional components based on the PERMAIg© model are related to the estimated general happiness using partial least square regression method. The results show that MLR and PLS regression analysis are similar in upper and lower five partial regression coefficients of the dependent variable. The number of significant items distributed on seven components lead to the total amount of variation of 37%. It can be concluded that the results are model independent, and the obtained weights of happiness elements are reliable to explain the workers’ happiness.
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Tsuchiya, T., Mahmud, Z., Lokman, A.M. (2018). Relationship between Workers’ General Happiness and Emotional Components @ PERMAIg©. In: Lokman, A., Yamanaka, T., Lévy, P., Chen, K., Koyama, S. (eds) Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018. KEER 2018. Advances in Intelligent Systems and Computing, vol 739. Springer, Singapore. https://doi.org/10.1007/978-981-10-8612-0_92
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DOI: https://doi.org/10.1007/978-981-10-8612-0_92
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