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The Validity of the Day Reconstruction Method in the German Socio-economic Panel Study

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  • Ivana Anusic

    (Michigan State University)

  • Richard E. Lucas

    (Michigan State University)

  • M. Brent Donnellan

    (Texas A&M University)

Abstract

The Day Reconstruction Method (DRM) is a useful tool for evaluating short-term changes in emotional experiences over a variety of daily situations. However, traditional method of collecting DRM data can be time-intensive for both researchers and participants. In this paper we provide evidence that a random-sampling approach to DRM assessment can provide useful data that are largely consistent with previous research that used the full version of the DRM. In a nationally representative sample of 2303 people, we demonstrate that (1) there is variability in emotional ratings of episodes that replicates what has been found in prior studies, (2) correlations with global measures are typically small in magnitude (

Suggested Citation

  • 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.
    • Handle: RePEc:spr:soinre:v:130:y:2017:i:1:d:10.1007_s11205-015-1172-6
    DOI: 10.1007/s11205-015-1172-6
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    References listed on IDEAS

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    1. David Richter & Jürgen Schupp, 2012. "SOEP Innovation Sample (SOEP-IS): Description, Structure and Documentation," SOEPpapers on Multidisciplinary Panel Data Research 463, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. 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.
    3. Wido G. M. Oerlemans & Arnold B. Bakker & Ruut Veenhoven, 2011. "Finding the Key to Happy Aging: A Day Reconstruction Study of Happiness," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(6), pages 665-674.
    4. Samantha Dockray & Nina Grant & Arthur Stone & Daniel Kahneman & Jane Wardle & Andrew Steptoe, 2010. "A Comparison of Affect Ratings Obtained with Ecological Momentary Assessment and the Day Reconstruction Method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 269-283, November.
    5. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    6. Louis Tay & David Chan & Ed Diener, 2014. "The Metrics of Societal Happiness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(2), pages 577-600, June.
    7. Maja Tadic & Wido Oerlemans & Arnold Bakker & Ruut Veenhoven, 2013. "Daily Activities and Happiness in Later Life: The Role of Work Status," Journal of Happiness Studies, Springer, vol. 14(5), pages 1507-1527, October.
    8. McNamee, Paul & Mendolia, Silvia, 2014. "The effect of chronic pain on life satisfaction: Evidence from Australian data," Social Science & Medicine, Elsevier, vol. 121(C), pages 65-73.
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    Cited by:

    1. Dave Möwisch & Annette Brose & Florian Schmiedek, 2021. "Do Higher Educated People Feel Better in Everyday Life? Insights From a Day Reconstruction Method Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 227-250, January.
    2. 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.
    3. 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.
    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. Jiyao Sun & Nan Zhang & Bram Vanhoutte & Jian Wang & Tarani Chandola, 2021. "Subjective Wellbeing in Rural China: How Social Environments Influence the Diurnal Rhythms of Affect," IJERPH, MDPI, vol. 18(8), pages 1-28, April.
    6. Cosaert, Sam & Lefebvre, Mathieu & Martin, Ludivine, 2022. "Are preferences for work reference dependent or time nonseparable? New experimental evidence," European Economic Review, Elsevier, vol. 148(C).
    7. Field, Erica & Pande, Rohini & Rigol, Natalia & Schaner, Simone & Stacy, Elena & Moore, Charity Troyer, 2023. "Measuring time use in rural India: Design and validation of a low-cost survey module," Journal of Development Economics, Elsevier, vol. 164(C).
    8. Morris, Eric A. & Blumenberg, Evelyn & Guerra, Erick, 2020. "Does lacking a car put the brakes on activity participation? Private vehicle access and access to opportunities among low-income adults," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 375-397.

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