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The Good, the Bad, and the Ordinary: The Day-of-the-Week Effect on Mood Across the Globe

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Abstract

The weekly peak of mood has fascinated academics and the mass public alike. However, this phenomenon has not been explored from a global perspective. By analyzing large-scale cross-national survey data collected from the Global Attitude Survey conducted by Pew Research Center in 2014–2015, this paper offers cross-national evidence focusing on reporting a good or bad day across 46 countries. It was found that daily moods show a clear weekly cycle of feeling a “good day” (versus “ordinary” or “bad” day), but whether one is having a “best possible life”, a cognitive evaluation of life conditions this study uses, does not vary over the week. Religion appears to be a key explanatory factor. While Christians are not more likely to report a “good mood” than Muslims or those identifying with other religions, they appear to enjoy a “best possible life”, implying stronger influences by their distinctive worldview and sense of comfort. Also, the percentage of Christians in the whole population constitutes a very important structural context, such that in Christian-majority countries, Saturday and Sunday generated more good day reports than elsewhere. Muslim societies produce a very delightful context on Fridays. Other social structural conditions such as national wealth or income distribution generate mixed evidence. Policy implications are discussed in the conclusion.

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Notes

  1. Surveys were conducted via telephone or face-to-face interviews; in some countries both methods were mixed. Telephone interviews were conducted mainly in N. America, W. Europe, Australia and Japan. The random-digit dialing method was adopted in these areas for both cell and landline phones. In Czech and South Korea, where cell phones are extremely popular (prevalence rate is over 90%), interviews were conducted through cells to solicit answers from a large pool of registered candidates for the survey. Direct interviews were applied in Latin America, E. Europe, Africa and most of Asia, with a multi-stage, cluster design.

  2. For more details of the field report from each participating country, see http://www.pewresearch.org/methodology/international-survey-research/survey-mode-and-sample-design. Either with or without the Ukrainian respondents, the obtained findings are largely the same. They therefore are included in the following analyses.

  3. The ICC is the ratio of the between-cluster variance to the total variance. For categorical results, it is calculated in a slightly different way from that for continuous outcome variables by assuming the variance of residuals to be π2/3 = 3.29. See O’Connell, Goldstein, Rogers and Peng (2008, p. 220).

References

  • Al-Atawneh, M. (2012). Leisure and entertainment (malāhī) in contemporary Islamic legal thought: Music and the audio-visual media. Islamic Law and Society, 19(4), 397–415.

    Article  Google Scholar 

  • Andrews, F. M., & McKennell, A. C. (1980). Measures of self-reported well-being: Their affective, cognitive, and other components. Social Indicators Research, 8(2), 127–155.

    Article  Google Scholar 

  • Areni, C. S. (2008). (Tell me why) I don’t like Mondays: Does an overevaluation of future discretionary time underlie reported weekly mood cycles? Cognition and Emotion, 22(7), 1228–1252.

    Article  Google Scholar 

  • Areni, C. S., & Burger, M. (2008). Memories of bad days are more biased than memories of good days: Past Saturdays vary, but past Mondays are always blue. Journal of Applied Social Psychology, 38(6), 1395–1415.

    Article  Google Scholar 

  • Areni, C. S., Burger, M., & Zlatevska, N. (2011). Factors affecting the extent of Monday Blues: Evidence from a meta-analysis. Psychological Reports, 109(3), 723–733.

    Article  Google Scholar 

  • Austin, P. C. (2011). An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behavioral Research, 46(3), 399–424.

    Article  Google Scholar 

  • Biswas-Diener, R., & Diener, E. (2001). Making the best of a bad situation: Satisfaction in the slums of Calcutta. Social Indicators Research, 55(3), 329–352.

    Article  Google Scholar 

  • Bjørnskov, C., & Tsai, M.-C. (2015). How do institutions affect happiness and misery? A tale of two tails. Comparative Sociology, 14(3), 353–385.

    Article  Google Scholar 

  • Center of Systemic Peace. (2017). Polity V Project. Vienna, VA: Center for Systemic Peace.

    Google Scholar 

  • Croft, G. P., & Walker, A. E. (2001). Are the Monday blues all in the wind? The role of expectancy in the subjective experience of mood. Journal of Applied Social Psychology, 31(6), 1133–1145.

    Article  Google Scholar 

  • Csikszentmihalyi, M., & Hunter, J. (2003). Happiness in everyday life: The uses of experience sampling. Journal of Happiness Studies, 4(2), 185–199.

    Article  Google Scholar 

  • Davydov, D. M., Shapiro, D., & Goldstein, I. B. (2004). Moods in everyday situations: Effects of menstrual cycle, work, and personality. Journal of Psychosomatic Research, 56(1), 27–33.

    Article  Google Scholar 

  • Davydov, D. M., Shapiro, D., Goldstein, I. B., & Chicz-DeMet, A. (2007). Moods in everyday situations: Effects of combinations of different arousal-related factors. Journal of Psychosomatic Research, 62(3), 321–329.

    Article  Google Scholar 

  • Di Tella, R., MacCulloch, R. J., & Oswald, A. J. (2001). Preferences over inflation and unemployment: Evidence from surveys of happiness. American Economic Review, 91(1), 335–341.

    Article  Google Scholar 

  • Diener, E., Oishi, S., & Lucas, R. E. (2003). Personality, culture, and subjective well-being: Emotional and cognitive evaluations of life. Annual Review of Psychology, 54, 403–425.

    Article  Google Scholar 

  • Diener, E., Oishi, S., & Lucas, R. E. (2015). The evolving concept of subjective well-being: The multifaceted nature of happiness. In E. Diener (Ed.), Assessing well-being: The collected works of Ed Diener (pp. 67–100). New york: Springer.

    Google Scholar 

  • Dolan, P., Peasgood, T., & White, M. (2008). Do we really know what makes us happy? A review of the economic literature on the factors associated with subjective well-being. Journal of Economic Psychology, 29(1), 94–122.

    Article  Google Scholar 

  • Dorn, D., Fischer, J. A. V., Kirchgässner, G., & Sousa-Poza, A. (2007). Is it culture or democracy? The impact of democracy and culture on happiness. Social Indicators Research, 82(3), 505–526.

    Article  Google Scholar 

  • Ebrey, J., & Cruz, S. A. (2014). Working at the weekend: Supermarket and shopping center workers in Salford/Manchester (UK) and Porto (Portugal). Leisure Studies, 33(2), 233–246.

    Article  Google Scholar 

  • Egloff, B., Tausch, A., Kohlmann, C., & Krohne, H. W. (1995). Relationships between time of day, day of the week, and positive mood: Exploring the role of the mood measure. Motivation and Emotion, 19(2), 99–110.

    Article  Google Scholar 

  • Enders, C. K., & Tofighi, D. (2007). Centering predictors variables in cross-sectional multilevel models: a new look at an old issue. Psychological Methods, 12(2), 121–138.

    Article  Google Scholar 

  • Foley, C. (2017). The art of wasting time: Sociability, friendship, community and holidays. Leisure Studies, 36(1), 1–20.

    Article  Google Scholar 

  • Fontaine, J. R. J. (2008). Traditional and multilevel approaches in cross-cultural research: An integration of methodological frameworks. In F. J. R. van de Vijver, D. A. van Hemert, & Y. H. Poortinga (Eds.), Multilevel analysis of individuals and cultures (pp. 65–92). New York: Lawrence Erlbaum.

    Google Scholar 

  • Frey, B. S., & Stutzer, A. (2000). Happiness prospers in democracy. Journal of Happiness Studies, 1(1), 79–102.

    Article  Google Scholar 

  • Gini, A. (2003). Importance of being lazy: In praise of play, leisure, and vacations. London: Routledge.

    Google Scholar 

  • Graham, C., & Crown, S. (2014). Religion and wellbeing around the world: Social purpose, social time, or social insurance? International Journal of Wellbeing, 4(1), 1–27.

    Article  Google Scholar 

  • Hagerty, M. R., & Veenhoven, R. (2003). Wealth and happiness revisited: Growing national income does go with greater happiness. Social Indicators Research, 64(1), 1–27.

    Article  Google Scholar 

  • Hall, A. (2014). Life Satisfaction, Concept of. In Alex C. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 3599–3601). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Helliwell, J. F., & Wang, S. (2014). Weekends and subjective well-being. Social Indicators Research, 116(2), 389–407.

    Article  Google Scholar 

  • Helliwell, J. F., & Wang, S. (2015). How was the weekend? How the social context underlies weekend effects in happiness and other emotions for US workers. PLoS ONE, 10(12), e0145123.

    Article  Google Scholar 

  • Ibrahim, H. (1982). Leisure and Islam. Leisure Studies, 1(2), 197–210.

    Article  Google Scholar 

  • Kelley, J., Evans, M. D. R., Lowman, J., & Lykes, V. (2017). Group-mean-centering independent variables in multi-level models is dangerous. Quality & Quantity, 51(1), 261–283.

    Article  Google Scholar 

  • Lanza, S., Moore, J. E., & Butera, N. M. (2013). Drawing causal inferences using propensity scores: A practical guide for community psychologists. American Journal of Community Psychology, 52(3–4), 380–392.

    Article  Google Scholar 

  • Larsen, R. J., & Kasimatis, M. (1990). Individual differences in entrainment of mood to the weekly calendar. Journal of Personality and Social Psychology, 58(1), 164–171.

    Article  Google Scholar 

  • Levine, R. V., & Norenzayan, A. (1999). The pace of life in 31 countries. Journal of Cross-Cultural Psychology, 30(2), 178–205.

    Article  Google Scholar 

  • Levine, R. V., & Wolff, E. (1985). Social time: The heartbeat of culture. Psychology Today, 19(Mar.), 29–35.

    Google Scholar 

  • Li, M. (2013). Using the propensity score method to estimate causal effects: A review and practical guide. Organizational Research Methods, 16(2), 188–226.

    Article  Google Scholar 

  • Luke, D. A. (2004). Multilevel modeling. Thousand Oaks: Sage.

    Book  Google Scholar 

  • Martin, W. H., & Mason, S. (2006). The development of leisure in Iran: The experience of the twentieth century. Middle Eastern Studies, 42(2), 239–254.

    Article  Google Scholar 

  • Moulton, C. (2016). That old weekend effect! Emergency Medicine Journal, 33, 834–835.

    Article  Google Scholar 

  • Munck, R. (2002). Globalization and Labor. London: Zed.

    Google Scholar 

  • O’Connell, A. A., Goldstein, J., Rogers, H. J., & Peng, C. Y. J. (2008). Multilevel logistic models for dichotomous and ordinal data. In A. A. O’Connell & D. B. McCoach (Eds.), Multilevel modeling of educational data (pp. 199–224). Charlotte, NC: Information Age Publishing.

    Google Scholar 

  • Poushter, J. (2014). Who’s having a ‘good’ or ‘bad’ day around the world. Pew Research Center. http://www.pewresearch.org/fact-tank/2014/12/30/having-a-typical-day-in-2014-youre-not-alone. Access date: 4 Nov 2017.

  • Proudfoot, J., Whitton, A. E., Parker, G., Manicavasagar, V., Nicholas, J., & Smith, M. (2014). Evidence of weekly cyclicity in mood and functional impairment in those with a bipolar disorder. Psychiatry Research, 218(3), 290–294.

    Article  Google Scholar 

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks: Sage.

    Google Scholar 

  • Robinson, J. P., & Lee, C. W. (2014). Society’s (virtually) time-free transition into the digital age. Social Indicators Research, 117(3), 939–965.

    Article  Google Scholar 

  • Robinson, J. P., & Martin, S. (2008). What do happy people do? Social Indicators Research, 89(3), 565–571.

    Article  Google Scholar 

  • Rode, M. (2013). Do good institutions make citizens happy, or do happy citizens build better institutions? Journal of Happiness Studies, 14(5), 1479–1505.

    Article  Google Scholar 

  • Ryan, R. M., Bernstein, J. H., & Brown, K. W. (2010). Weekends, work, and well-being: Psychological need satisfactions and day of the week effects on mood, vitality, and physical symptoms. Journal of Social and Clinical Psychology, 29(1), 95–122.

    Article  Google Scholar 

  • Sommet, N., & Morselli, D. (2017). Keep calm and learn multilevel logistic modeling: a simplified three-step procedure using Stata, R, Mplus, and SPSS. International Review of Social Psychology, 31(1), 203–218.

    Article  Google Scholar 

  • Spruk, R., & Kešeljević, A. (2016). Institutional origins of subjective well-being: Estimating the effects of economic freedom on national happiness. Journal of Happiness Studies, 17(2), 659–712.

    Article  Google Scholar 

  • Stadelmann-Steffen, I., & Vatter, A. (2012). Does satisfaction with democracy really increase happiness? Direct democracy and individual satisfaction in Switzerland. Political Behavior, 34(3), 535–559.

    Article  Google Scholar 

  • Starmans, C., Sheskin, M., & Bloom, P. (2017). Why people prefer unequal societies. Nature Human Behavior, 1(4), 1–7.

    Google Scholar 

  • Stone, A. A., Schneider, S., & Harter, J. K. (2012). Day-of-week mood pattern in the United States: On the existence of ‘blue Monday’, ‘thank God it’s Friday’ and weekend effect. Journal of Positive Psychology, 7(4), 306–314.

    Article  Google Scholar 

  • Teorell, J., Dahlberg, S., Holmberg, S., Rothstein, B., Khomenko, A. and Svensson, R. (2017). The quality of government standard dataset, version Jan17. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se https://doi.org/10.18157/qogstdjan17.

  • Tsai, M.-C. (2015). Happiness and sociability in a nonrecursive model: The US and Taiwan compared. In F. Michalos (Ed.), A life devoted to quality of life – Festschrift in honor of Alex C. Michalos (pp. 297–314). Dordrecht: Springer.

    Google Scholar 

  • Tsai, M.-C., Nitta, M., Kim, S.-W., & Wang, W. (2016). Working overtime in East Asia: Convergence or divergence? Journal of Contemporary Asia, 46(4), 700–722.

    Article  Google Scholar 

  • Tumen, S., & Zeydanli, T. (2014). Day-of the-week effects in subjective well-being: Does selectivity matter? Social Indicators Research, 119(1), 139–162.

    Article  Google Scholar 

  • Veenhoven, R. (2010). Capability and happiness: Conceptual difference and reality links. Journal of Socio-Economics, 39(3), 344–350.

    Article  Google Scholar 

  • Veenhoven, R. (2017). Measures of happiness: Which to choose? In Gaёl Brulé & Filomena Maggino (Eds.), Metrics of subjective well-being: Limits and improvements (pp. 65–84). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Vittengl, J. R., & Holt, C. S. (1998). A time-series diary study of mood and social interaction. Motivation and Emotion, 22(3), 255–275.

    Article  Google Scholar 

  • Walton, J. K. (2014). From institution to fragmentation: The making of and unmaking of the British weekend. Leisure Studies, 33(2), 202–214.

    Article  Google Scholar 

  • World Bank (2017). World Bank Open Data. https://data.worldbank.org. Washington, DC: World Bank.

  • Zagorski, K., Evans, M. D. R., Kelley, J., & Piotrowska, K. (2014). Does national income inequality affect individuals’ quality of life in Europe? Inequality, happiness, finances, and health. Social Indicators Research, 117(3), 1089–1110.

    Article  Google Scholar 

  • Zerubavel, E. (1985). The seven day circle. New York: The Free Press.

    Google Scholar 

  • Zerubavel, E. (1987). The language of time: Toward a semiotics of temporality. The Sociological Quarterly, 28(3), 343–356.

    Article  Google Scholar 

  • Zerubavel, E. (1997). Social mindscapes: An invitation to cognitive sociology. Cambridge: Harvard University Press.

    Google Scholar 

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Acknowledgements

I am grateful to the Population Studies and Training Center at Brown University for providing research infrastructure and support while I was a visiting scholar and preparing the manuscript of this paper in the second half of 2017.

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Correspondence to Ming-Chang Tsai.

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Tsai, MC. The Good, the Bad, and the Ordinary: The Day-of-the-Week Effect on Mood Across the Globe. J Happiness Stud 20, 2101–2124 (2019). https://doi.org/10.1007/s10902-018-0035-7

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