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The role of incidental variables of time in mood assessment

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Determining what influences mood is important for theories of emotion and research on subjective well-being. We consider three sets of factors: activities in which people are engaged; individual differences; and incidental variables that capture when mood is measured, e.g., time-of-day. These three factors were investigated simultaneously in a study involving 168 part-time students who each responded 30 times in an experience sampling study conducted over 10 working days. Respondents assessed mood on a simple bipolar scale – from 1 (very negative) to 10 (very positive). Activities had significant effects but, with the possible exception of variability in the expression of mood, no systematic individual differences were detected. Diurnal effects, similar to those already reported in the literature, were found as was an overall “Friday effect.” However, these effects were small. Lastly, the weather had little or no influence. We conclude that simple measures of overall mood are not greatly affected by incidental variables.

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  • Robin Hogarth & Mariona Portell & Anna Cuxart, 2010. "The role of incidental variables of time in mood assessment," Economics Working Papers 1228, Department of Economics and Business, Universitat Pompeu Fabra.
    • Handle: RePEc:upf:upfgen:1228
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    1. Bruno S. Frey & Alois Stutzer, 2002. "What Can Economists Learn from Happiness Research?," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 402-435, June.
    2. Robin Hogarth & Mariona Portell & Anna Cuxart, 2007. "What risks do people perceive in everyday life? A perspective gained from the experience sampling method (ESM)," Economics Working Papers 1005, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-1345, December.
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    More about this item

    Keywords

    Affect; mood; experience sampling; diurnal effects; day-of-the-week; weather; multilevel analysis. leex;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I00 - Health, Education, and Welfare - - General - - - General
    • I19 - Health, Education, and Welfare - - Health - - - Other

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