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Saturday, July 17, 2010

Comparing DRM with Experience Sampling - Social Indicators Research


Samantha Dockray1, Nina Grant1, Arthur A. Stone2, Daniel Kahneman3, Jane Wardle4 and Andrew SteptoeContact Information
(1)  Psychobiology Group, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK
(2)  Department of Psychiatry and Behavioral Science, Stony Brook University, Stony Brook, NY, USA
(3)  Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ, USA
(4)  Health Behaviour Research Centre, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK
Accepted: 9 January 2010  Published online: 19 January 2010
Abstract  Measurement of affective states in everyday life is of fundamental importance in many types of quality of life, health, and psychological research. Ecological momentary assessment (EMA) is the recognized method of choice, but the respondent burden can be high. The day reconstruction method (DRM) was developed by Kahneman and colleagues (Science, 2004, 306, 1776–1780) to assess affect, activities and time use in everyday life. We sought to validate DRM affect ratings by comparison with contemporaneous EMA ratings in a sample of 94 working women monitored over work and leisure days. Six EMA ratings of happiness, tiredness, stress, and anger/frustration were obtained over each 24 h period, and were compared with DRM ratings for the same hour, recorded retrospectively at the end of the day. Similar profiles of affect intensity were recorded with the two techniques. The between-person correlations adjusted for attenuation ranged from 0.58 (stress, working day) to 0.90 (happiness, leisure day). The strength of associations was not related to age, educational attainment, or depressed mood. We conclude that the DRM provides reasonably reliable estimates both of the intensity of affect and variations in affect over the day, so is a valuable instrument for the measurement of everyday experience in health and social research.
Keywords  Affect - Measurement - Diurnal variation

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