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Review of the Day Reconstruction Method (DRM)

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  • Ed Diener
  • Louis Tay

Abstract

The Day Reconstruction Method (DRM) for assessing daily experience and subjective well-being is reviewed. The DRM is a promising method as it assesses feelings within situations and activities, and therefore goes beyond asking who is happy to asking when they are happy. The technique might be less burdensome on respondents than experience-sampling, and might reduce memory biases that are inherent in global recall of feelings. However, evidence for the validity and reliability of the DRM is limited and is not entirely supportive. Research is needed on the psychometrics of the DRM, for example by comparing it to mobile phone assessments and other forms of experience-sampling, as well as to global reports of feelings in situations. Conceptual issues with computing overall subjective well-being by weighting a respondent’s activity scores by the time spent in them are discussed. Despite the promises of the DRM, the many unresolved issues with it and the alternative of using on-line electronic experience-sampling techniques suggest that more research is needed before the value of the DRM is established. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Ed Diener & Louis Tay, 2014. "Review of the Day Reconstruction Method (DRM)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 255-267, March.
    • Handle: RePEc:spr:soinre:v:116:y:2014:i:1:p:255-267
    DOI: 10.1007/s11205-013-0279-x
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    References listed on IDEAS

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    9. Christie Scollon & Chu Kim-Prieto & Ed Diener, 2003. "Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses," Journal of Happiness Studies, Springer, vol. 4(1), pages 5-34, March.
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    Cited by:

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    2. Andrew L. Kun & Raffaella Sadun & Orit Shaer & Thomaz Teodorovicz, 2022. "How does working from home during Covid-19 affect what managers do? Evidence from time-use studies," CEP Discussion Papers dp1844, Centre for Economic Performance, LSE.
    3. Andrew L. Kun & Raffaella Sadun & Orit Shaer & Thomaz Teodorovicz, 2022. "Multitasking while driving: a time use study of commuting knowledge workers to access current and future uses," POID Working Papers 028, Centre for Economic Performance, LSE.
    4. Dave Möwisch & Florian Schmiedek & David Richter & Annette Brose, 2019. "Capturing Affective Well-Being in Daily Life with the Day Reconstruction Method: A Refined View on Positive and Negative Affect," Journal of Happiness Studies, Springer, vol. 20(2), pages 641-663, February.
    5. Lancée, Sascha & Veenhoven, Ruut & Burger, Martijn, 2017. "Mood during commute in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 195-208.
    6. Daly, Michael & Delaney, Liam & Doyle, Orla & Fitzpatrick, Nick & O'Farrelly, Christine, 2014. "Can Early Intervention Policies Improve Well-being? Evidence from a randomized controlled trial," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-03, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Lades, Leonhard K. & Laffan, Kate & Weber, Till O., 2021. "Do economic preferences predict pro-environmental behaviour?," Ecological Economics, Elsevier, vol. 183(C).
    8. Rachel E. Dunifon & Kelly A. Musick & Christopher E. Near, 2020. "Time with Grandchildren: Subjective Well-Being Among Grandparents Living with Their Grandchildren," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 681-702, April.
    9. Ivana Anusic & Richard E. Lucas & M. Brent Donnellan, 2017. "The Validity of the Day Reconstruction Method in the German Socio-economic Panel Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 213-232, January.
    10. Hideaki Sakawa & Fumio Ohtake & Yoshiro Tsutsui, 2015. "Activity, Time, and Subjective Happiness: An analysis Based on an Hourly Web survey," ISER Discussion Paper 0926, Institute of Social and Economic Research, Osaka University.
    11. Lingling Su & Suhong Zhou & Mei-Po Kwan & Yanwei Chai & Xue Zhang, 2022. "The impact of immediate urban environments on people’s momentary happiness," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 140-160, January.
    12. Leonhard K. Lades & Kate Laffan & Till O. Weber, 2020. "Do economic preferences predict pro-environmental behaviour?," Working Papers 202003, Geary Institute, University College Dublin.
    13. Kai Ludwigs & Richard Lucas & Martijn Burger & Ruut Veenhoven & Lidia Arends, 2018. "How Does More Attention to Subjective Well-Being Affect Subjective Well-Being?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(4), pages 1055-1080, December.
    14. Tobias Wolf & Maria Metzing & Richard E. Lucas, 2022. "Experienced Well-Being and Labor Market Status: The Role of Pleasure and Meaning," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(2), pages 691-721, September.
    15. Martin J Biskup & Seth Kaplan & Jill C Bradley-Geist & Ashley A Membere, 2019. "Just how miserable is work? A meta-analysis comparing work and non-work affect," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-28, March.
    16. Renaud Gaucher, 2022. "The Work Day Reconstruction Method: an adaptation of the Day Reconstruction Method to the work setting," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4487-4509, December.

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