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Journal of Well-Being Assessment

, Volume 2, Issue 2–3, pp 93–114 | Cite as

Why Self-Report Variables Inter-Correlate: the Role of Homeostatically Protected Mood

  • Robert A. CumminsEmail author
  • Tanja Capic
  • Matthew Fuller-Tyszkiewicz
  • Delyse Hutchinson
  • Craig A. Olsson
  • Ben Richardson
Original Research

Abstract

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.

Keywords

Subjective wellbeing set-points emotion homeostatically protected mood homeostasis theory 

Notes

Acknowledgements

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).

Supplementary material

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Psychology, Faculty of HealthDeakin UniversityMelbourneAustralia
  2. 2.Cairnmillar InstituteMelbourneAustralia

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