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Multi-Country Evaluation of Affective Experience: Validation of an Abbreviated Version of the Day Reconstruction Method in Seven Countries

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Listed:
  • José Luis Ayuso-Mateos
  • Marta Miret
  • Francisco Félix Caballero
  • Beatriz Olaya
  • Josep Maria Haro
  • Paul Kowal
  • Somnath Chatterji

Abstract

Background: The Day Reconstruction Method (DRM) was developed to assess affective states as measures of experienced well-being. The present study aimed to validate an abbreviated version of the DRM in a representative sample of the population in seven countries (China, Ghana, India, Mexico, Russia, South Africa, and Spain), and to examine whether there are country differences in affect and in the relationships among the activities based on the similarity of the affect associated with each of them. Methods: Interviews were conducted with 47,222 non-institutionalized adults from seven countries, using an abbreviated version of the DRM. A cluster analysis was carried out to classify activities on the basis of the similarity of the associated affect. In each country, the factorial structure of the affect adjectives was tested through Confirmatory Factor Analysis. Internal consistency and construct validity were also assessed. Moreover, the differences in affect across countries and the diurnal cycles of affect were evaluated. Results: The DRM showed adequate psychometric properties regarding reliability and construct validity in all countries. Respondents from Ghana and South Africa reported more positive net affect whereas Indian respondents reported less positive net affect. Most of the countries showed a similar diurnal variation of affect, which tended to improve throughout the day. Conclusions: The results show that this abbreviated version of the DRM is a useful tool for multi-country evaluation of experienced well-being.

Suggested Citation

  • José Luis Ayuso-Mateos & Marta Miret & Francisco Félix Caballero & Beatriz Olaya & Josep Maria Haro & Paul Kowal & Somnath Chatterji, 2013. "Multi-Country Evaluation of Affective Experience: Validation of an Abbreviated Version of the Day Reconstruction Method in Seven Countries," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-8, April.
  • Handle: RePEc:plo:pone00:0061534
    DOI: 10.1371/journal.pone.0061534
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    References listed on IDEAS

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    1. Krueger, Alan B. & Schkade, David A., 2008. "The reliability of subjective well-being measures," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1833-1845, August.
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    1. Sergey Smetanin, 2022. "Pulse of the Nation: Observable Subjective Well-Being in Russia Inferred from Social Network Odnoklassniki," Mathematics, MDPI, vol. 10(16), pages 1-38, August.
    2. 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.
    3. Francisco Caballero & Marta Miret & Beatriz Olaya & Jaime Perales & Ruy López-Ridaura & Josep Haro & Somnath Chatterji & José Ayuso-Mateos, 2014. "Evaluation of Affect in Mexico and Spain: Psychometric Properties and Usefulness of an Abbreviated Version of the Day Reconstruction Method," Journal of Happiness Studies, Springer, vol. 15(4), pages 915-935, August.
    4. Blanca Mellor-Marsá & Marta Miret & Francisco J. Abad & Somnath Chatterji & Beatriz Olaya & Beata Tobiasz-Adamczyk & Seppo Koskinen & Matilde Leonardi & Josep Maria Haro & José Luis Ayuso-Mateos & Fra, 2016. "Measurement Invariance of the Day Reconstruction Method: Results from the COURAGE in Europe Project," Journal of Happiness Studies, Springer, vol. 17(5), pages 1769-1787, October.
    5. Darío Moreno-Agostino & Alejandro de la Torre-Luque & Javier de la Fuente & Elvira Lara & Natalia Martín-María & Maria Victoria Moneta & Ivet Bayés & Beatriz Olaya & Josep Maria Haro & Marta Miret & J, 2021. "Determinants of Subjective Wellbeing Trajectories in Older Adults: A Growth Mixture Modeling Approach," Journal of Happiness Studies, Springer, vol. 22(2), pages 709-726, February.

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