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

  • Original Research
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Journal of Well-Being Assessment

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.

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References

  • Andrews, F. M., & Withey, S. B. (1976). Social indicators of well-being: American's perceptions of life quality. New York: Plenum Press.

    Book  Google Scholar 

  • Anglim, J., Weinberg, M. K., & Cummins, R. A. (2015). Bayesian hierarchical modeling of the temporal dynamics of subjective well-being: A 10 year longitudinal analysis. Journal of Research in Personality, 59(3), 1–14. https://doi.org/10.1016/j.jrp.2015.08.003.

    Article  Google Scholar 

  • 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 

  • Blore, J. D., Stokes, M. A., Mellor, D., Firth, L., & Cummins, R. A. (2011). Comparing multiple discrepancies theory to affective models of subjective wellbeing. Social Indicators Research, 100(1), 1–16. https://doi.org/10.1007/s11205-010-9599-2.

    Article  Google Scholar 

  • Buss, D. M., & Greiling, H. (1999). Adaptive individual differences. Journal of Personality, 67(2), 209–243.

    Article  Google Scholar 

  • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105.

    Article  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. (1995). On the trail of the gold standard for life satisfaction. Social Indicators Research, 35(2), 179–200. https://doi.org/10.1007/BF01079026.

    Article  Google Scholar 

  • Cummins, R. A. (2010). Subjective wellbeing, homeostatically protected mood and depression: A synthesis. Journal of Happiness Studies, 11, 1–17. https://doi.org/10.1007/s10902-009-9167-0.

    Article  Google Scholar 

  • Cummins, R. A. (2016). The theory of subjective wellbeing homeostasis: A contribution to understanding life quality. In F. Maggino (Ed.), A Life Devoted to Quality of Life - Festschrift in Honor of Alex C. Michalos (Vol. 60, pp. 61–79). Dordrecht: Springer.

    Chapter  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).

  • Cummins, R. A., Eckersley, R., Pallant, J., Van Vugt, J., & Misajon, R. (2003). Developing a national index of subjective wellbeing: The Australian Unity wellbeing index. Social Indicators Research, 64, 159–190.

    Article  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 

  • Cummins, R. A., Li, L., Wooden, M., & Stokes, M. (2014). A demonstration of set-points for subjective wellbeing. Journal of Happiness Studies, 15, 183–206. https://doi.org/10.1007/s10902-013-9444-9.

    Article  Google Scholar 

  • Davern, M., Cummins, R. A., & Stokes, M. (2007). Subjective wellbeing as an affective/cognitive construct. Journal of Happiness Studies, 8(4), 429–449. https://doi.org/10.1007/s10902-007-9066-1.

    Article  Google Scholar 

  • Devlin, S. J., Gnanadesikan, R., & Kettenring, J. R. (1975). Robust estimation and outlier detection with correlation coefficients. Biometrika, 62(3), 531–545.

    Article  Google Scholar 

  • Diener, E. (1984). Subjective well-being. Psychological Bulletin, 95, 542–575.

    Article  Google Scholar 

  • Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49, 71–75.

    Article  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.

  • Harris, P., & Middleton, W. (1994). The illusion of control and optimism about health: On being less at risk but no more in control than others. British Journal of Social Psychology, 33(4), 369–386.

    Article  Google Scholar 

  • Hitokoto, H., & Uchida, Y. (2015). Interdependent happiness: Theoretical importance and measurement validity. Journal of Happiness Studies, 16, 211–239.

    Article  Google Scholar 

  • International Wellbeing Group. (2013). Personal Wellbeing Index Manual: 5th Edition. Retrieved from http://www.acqol.com.au/instruments

  • Kanai, R., & Rees, G. (2011). The structural basis of inter-individual differences in human behaviour and cognition. Nature Reviews Neuroscience, 12(4), 231–242.

    Article  Google Scholar 

  • Lai, L. C. H. (2010). Religiosity and subjective wellbeing in Christianity, Buddhism and Taoism: Unpublished doctoral thesis. Melbourne: Deakin University http://www.acqol.com.au/projects#reports.

    Google Scholar 

  • 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.

  • Layard, R., Clark, A. E., Cornaglia, F., Powdthavee, N., & Vernoit, J. (2014). What predicts a successful life? A life-course model of well-being. The Economic Journal, 124(580), F720–F738.

    Article  Google Scholar 

  • Longo, Y. (2015). The simple structure of positive affect. Social Indicators Research, 124(1), 183–198. https://doi.org/10.1007/s11205-014-0776-6.

    Article  Google Scholar 

  • Lykken, D. T. (1968). Statistical significance in psychological research. Psychological Bulletin, 70, 151–159.

    Article  Google Scholar 

  • Lykken, D. T., & Tellegen, A. (1996). Happiness is a stochastic phenomenon. Psychological Science, 7(3), 186–189.

    Article  Google Scholar 

  • McGue, M., Bacon, S., & Lykken, D. T. (1993). Personality stability and change in early adulthood: A behavioral genetic analysis. Developmental Psychology, 29, 96–109. https://doi.org/10.1037/0012-1649.29.1.96.

    Article  Google Scholar 

  • Meehl, P. E. (1990). Why summaries of research on psychological theories are often uninterpretable. Psychological Reports, 66, 195–244.

    Article  Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    Article  Google Scholar 

  • 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 

  • Renn, D., Pfaffenberger, N., Platter, M., Mitmansgruber, H., Höfer, S., & Cummins, R. A. (2009). International well-being index: The Austrian version. Social Indicators Research, 90, 243–256.

    Article  Google Scholar 

  • Røysamb, E., Nes, R. B., & Vittersø, J. (2014). Well-being: Heritable and changeable. In K. M. Sheldon & R. E. Lucas (Eds.), Stability of happiness: Theories and evidence on whether happiness can change (pp. 9–36). USA: Elsevier.

    Chapter  Google Scholar 

  • Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley.

    Book  Google Scholar 

  • Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161–1178.

    Article  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.

  • Tavor, I., Jones, O. P., Mars, R., Smith, S., Behrens, T., & Jbabdi, S. (2016). Task-free MRI predicts individual differences in brain activity during task performance. Science, 352(6282), 216–220.

    Article  Google Scholar 

  • Tellegen, A., Lykken, D. T., Bouchard, T. J. J., Wilcox, K., Segal, N., & Rich, S. (1988). Personality similarity in twins reared apart and together. Joumal of Personality and Social Psychology, 54, 1031–1039.

    Article  Google Scholar 

  • Tomyn, A. J., & Cummins, R. A. (2011). Subjective wellbeing and homeostatically protected mood: Theory validation with adolescents. Journal of Happiness Studies, 12(5), 897–914. https://doi.org/10.1007/s10902-010-9235-5.

    Article  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 

  • Yik, M., Russell, J. A., & Steiger, J. H. (2011). A 12-point circumplex structure of core affect. Emotion, 11(4), 705–731.

    Article  Google Scholar 

  • Zou, G. Y. (2007). Toward using confidence intervals to compare correlations. Psychological Methods, 12(4), 399.

    Article  Google Scholar 

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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).

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Correspondence to Robert A. Cummins.

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Cummins, R.A., Capic, T., Fuller-Tyszkiewicz, M. et al. Why Self-Report Variables Inter-Correlate: the Role of Homeostatically Protected Mood. J well-being assess 2, 93–114 (2018). https://doi.org/10.1007/s41543-018-0014-0

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