Abstract
Factorization of the Happiness Index domains are performed for the purpose of identifying the underlying factors that can define and explain happiness issues that is intended to capture the attention of the university top management and policy makers. In this study, the exploratory factor analysis component method is used to identify underlying dormant factors of happiness domain that other tools may not be able to highlight. Based on the PERMAITM happiness index model, it was discovered that, Accomplishment was located consistently at 65% and below across the university’s campuses, faculties and job categories. This is an indication that people are moderately happy [1] with a high probability of not feeling happy. This domain was found to have an initial impact on the level of happiness of the university community based on the calculation of PERMAITM happiness index. Based on the responses of 9,654, factor analysis via principal component method was performed on 14 items of Accomplishment domain. Factor analysis has enabled two sub-domains under the Accomplishment domain i.e., Self-Accomplishment and Self-Efficacy. It is hoped that the findings can assist the university’s top management to focus on the pertinent issues on accomplishment and its sub-domains can impact the happiness of the university’s community.
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Mahmud, Z., Jaafar, N., Ibrahim, N.H. (2018). Factorization of Accomplishment Domain of PERMAITM Model. 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_87
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DOI: https://doi.org/10.1007/978-981-10-8612-0_87
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