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The Role of Incidental variables of Time in Mood Assessment

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  • Robin Hogarth
  • Mariona Portell
  • Anna Cuxart

Abstract

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.

Suggested Citation

  • Robin Hogarth & Mariona Portell & Anna Cuxart, 2010. "The Role of Incidental variables of Time in Mood Assessment," Working Papers 487, Barcelona Graduate School of Economics.
  • Handle: RePEc:bge:wpaper:487
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    File URL: http://www.barcelonagse.eu/sites/default/files/working_paper_pdfs/487.pdf
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    References listed on IDEAS

    as
    1. Bruno S. Frey & Alois Stutzer, 2002. "What Can Economists Learn from Happiness Research?," Journal of Economic Literature, American Economic Association, pages 402-435.
    2. Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, pages 1337-1345.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    affect; mood; experience sampling; diurnal effects; day-of-the-week; weather; multilevel analysis;

    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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