Why Self-Report Variables Inter-Correlate: the Role of Homeostatically Protected Mood
This manuscript provides systematic insight into the automatic correlations between positively-valenced, self-report variables that are typically used to measure subjective wellbeing. The theoretical basis for this study is the Theory of Subjective Wellbeing Homeostasis. This theory, in turn, rests on: (1) an assumption of genetically-determined set-points for subjective wellbeing and, (2) the existence of a composite affect, called Homeostatically Protected Mood (HPMood), as the phenotypic product of each set-point. HPMood perfuses all self-report variables to an extent predicted by each variable’s relationship to the self on the dimensions of proximal-distal and abstract-specific. Because HPMood is an individual difference, the extent of perfusion shared by any two variables strongly influences the magnitude of their correlation. These assumptions are empirically tested through six hypotheses, using data from two, independent, general population samples of Australian respondents. The results generally support the predictions of homeostasis theory and draw attention to the potential for HPMood to be a biasing – yet theoretically predictable factor in self-report data.
KeywordsSubjective wellbeing set-points emotion homeostatically protected mood homeostasis theory
We acknowledge with gratitude the continued support of our industry partner, Australian Unity. This work was also supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2016S1A3A2924563).
- Australian Bureau of Statistics. (2015). Australian demographic statistics tables (31010DO002_201503 Mar 2015). Canberra: ABS http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3101.0Mar%202015?OpenDocument.Google Scholar
- Campbell, A., Converse, P. E., & Rodgers, W. L. (1976). The quality of American life: Perceptions, evaluations, and satisfactions. New York: Russell Sage Foundation.Google Scholar
- Capic, T., Cummins, R. A., Silins, E., Richardson, B., Fuller-Tyszkiewicz, M., Hartley-Clark, L., & Hutchinson, D. (2016). Australian Unity Wellbeing Index: -Report 33.0 - The Wellbeing of Australians: Federal Electoral Divisions, Homeostatically Protected Mood and Relationship Support. Melbourne: Australian Centre on Quality of Life, School of Psychology, Deakin University http://www.acqol.com.au/projects#reports.Google Scholar
- Capic, T., Hutchinson, D., Fuller-Tyszkiewicz, M., Richardson, B., Khor, S., Olsson, C., & Cummins, R. A. (2017). Australian Unity Wellbeing Index: -Report 34.0 - The Wellbeing of Australians: Financial Wellbeing. Melbourne: Australian Centre on Quality of Life, School of Psychology, Deakin University http://www.acqol.com.au/projects#reports.Google Scholar
- Capic, T., Li, N., & Cummins, R. A. (2018). Confirmation of subjective wellbeing set-points: Foundational for subjective social indicators. Social Indicators Research. https://doi.org/10.1007/s11205-017-1585-5.
- Corp, I. B. M. (2016). SPSS statistics for windows, version 24.0. Armonk: IBM Corp.Google Scholar
- Cummins, R. A. (2017). The golden triangle of happiness: Essential resources for a happy family. International Journal of Child, Youth & Family Studies: Special Issue on Quality of Life and Family Quality of Life (in press).Google Scholar
- Cummins, R. A., Woerner, J., Weinberg, M., Collard, J., Hartley-Clark, L., & Horfiniak, K. (2013). Australian Unity Wellbeing Index: -Report 30.0 - The Wellbeing of Australians: Social media, personal achievement, and work. Melbourne: Australian Centre on Quality of Life, School of Psychology, Deakin University http://www.acqol.com.au/projects#reports.Google Scholar
- Engel, L. (2009). Psychological impact of DAFNE training in adults with type 1 diabetes. Unpublished doctoral thesis. Melbourne: Deakin University http://www.acqol.com.au/projects#reports.
- Fisher, R. A. (1915). Frequency distribution of the values of the correlation coefficient in samples from an indefinitely large population. Biometrika, 10(4), 507–521.Google Scholar
- International Wellbeing Group. (2013). Personal Wellbeing Index Manual: 5th Edition. Retrieved from http://www.acqol.com.au/instruments
- Lai, L. C. H., & Cummins, R. A. (2013). The contribution of job and partner satisfaction to the homeostatic defense of subjective wellbeing. Social Indicators Research, 111(1), 203–217. https://doi.org/10.1007/s11205-011-9991-6.
- Reis, H. T. (1994). Domains of experience: Investigating relationship processes from three perspectives. In R. Erber & R. Gilmour (Eds.), Theoretical fromeworks for personal relationships (pp. 87–110). Hillsdale: Erlbaum.Google Scholar
- Shenaar‐Golan, V. (2015). Hope and subjective well‐being among parents of children with special needs. Child & Family Social Work, 22(1), 306–316.Google Scholar
- Weinberg, M. K., & Tomyn, A. J. (2015). Community survey of young Victorians’ resilience and mental wellbeing. Carlton, Melbourne: Victorian Health Promotion Foundation.Google Scholar