A meta-analysis of 34 samples identified a small but reliable “Monday blues” effect (−.08≤d≤−.06) in samples reporting current or real-time moods for each day of the week. However, the size of the effect in samples reporting recalled summaries of moods experienced over the course of a day varied depending on whether the sample involved university students or nonstudents. University students reporting recalled summaries of daily moods showed a large Monday blues effect (d = −.25), whereas married men who were not students reported smaller effects with greater variance (−.19≤d≤−.01). The 34 samples reporting recalled summaries of moods experienced over multiple days produced effects ranging from −.25 to −1.28, but the variance among these samples was too great to estimate an aggregate d statistic.
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References
1.
∗AlmagorM.EhrlichS. (1990) Personality correlates and cyclicity in positive and negative affect. Psychological Reports, 66, 1159–1169.
2.
∗AreniC. S. (2008) (Tell me why) I don't like Mondays: does an overvaluation of future discretionary time underlie reported weekly mood cycles?Cognition & Emotion, 22, 1228–1252.
3.
∗AreniC. S.BurgerM. (2008) Memories of “bad” days are biased more than memories of “good” days: past Saturdays vary, but past Mondays are always blue. Journal of Applied Social Psychology, 38, 1395–1415.
4.
BeattyJ. E.TorbertW. R. (2003) The false duality of work and leisure. Journal of Management Inquiry, 12, 239–252.
5.
ClarkL. A.WatsonD. (1988) Mood and the mundane: relations between daily life events and self-reported mood. Journal of Personality and Social Psychology, 54, 296–308.
6.
CohenJ. (1992) A power primer. Psychological Bulletin, 112, 155–159.
7.
∗CsikszentmihalyiM.HunterJ. (2003) Happiness in everyday life: the uses of experience sampling. Journal of Happiness Studies, 4, 185–199.
DupreJ.GagnierR. (1996) A brief history of work. Journal of Economic Issues, 30, 553–559.
10.
∗EgloffB.TauschA.KohlmannC-W.KrohneH. 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, 99–110.
11.
FarberM. L. (1953) Time-perspective and feeling-tone: a study in the perception of days. Journal of Psychology, 35, 253–257.
12.
GilbertD. T.PinelE. C.WilsonT. D.BlumbergS. J.WheatleyT. P. (1998) Immune neglect: a source of durability bias in affective forecasting. Journal of Personality and Social Psychology, 75, 417–438.
13.
HunterJ. E.SchmidtF. L. (1990) Methods of meta-analysis: correcting error and bias in research findings. Newbury Park, CA: Sage.
14.
HunterJ. E.SchmidtF. L.JacksonG. B. (1982) Meta-analysis: cumulating research findings across studies. Beverly Hills, CA: Sage.
15.
∗JonesF.FletcherB. C. (1996) Taking work home: a study of daily fluctuations in work stressors, effects on moods, and impacts on marital partners. Journal of Occupational and Organizational Psychology, 69, 89–106.
16.
∗Kennedy-MooreE.GreenbergM. A.NewmanM. G.StoneA. A. (1992) The relationship between daily events and mood: the mood measure may matter. Motivation and Emotion, 16, 143–155.
17.
∗LarsenR. J.KasimatisM. (1990) Individual differences in entrainment of mood to the weekly calendar. Journal of Personality and Social Psychology, 58, 164–171.
18.
∗McFarlandC.RossM.DeCourvilleN. (1989) Women's theories of menstruation and bias in recall of menstrual symptoms. Journal of Personality and Social Psychology, 57, 522–531.
19.
MitchellT. R.ThompsonL.PetersonE.CronkR. (1997) Temporal adjustments in the evaluation of events: the “rosy view.”Journal of Experimental Social Psychology, 33, 421–448.
20.
∗StoneA. A.HedgesS. M.NealeJ. M.SatinM. S. (1985) Prospective and cross-sectional mood reports offer no evidence of a “Blue Monday” phenomenon. Journal of Personality and Social Psychology, 49, 129–134.
21.
TotterdellP.ParkinsonB.BrinerR. B.ReynoldsS. (1997) Forecasting feelings: the accuracy and effects of self-predictions of mood. Journal of Social Behavior and Personality, 12, 631–650.
22.
TraczS. M.ElmoreP. B.PohlmannJ. T. (1992) Correlational meta-analysis: independent and nonindependent cases. Educational and Psychological Measurement, 52, 879–888.
23.
WilsonT. D.GilbertD. T. (2003) Affective forecasting. In ZannaM. P. (Ed.), Advances in experimental social psychology. Vol. 35. Sydney, Australia: Academic Press. Pp. 346–412.
24.
WilsonT. D.MeyersJ.GilbertD. T. (2003) “How happy was I anyway?” a retrospective impact bias. Social Cognition, 21, 421–446.
25.
WilsonT. D.WheatleyT. P.MeyersJ. M.GilbertD. T.AxsomD. (2000) Focalism: a source of durability bias in affective forecasting. Journal of Personality and Social Psychology, 78, 821–836.
26.
ZerubavelE. (1985) The seven day circle: the history and meaning of the week. New York: The Free Press.
