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

PLoS ONE

Volumn 8, Issue 4, 2013, Pages

  Ayuso Mateos, José Luis ^a,b,c   Miret, Marta ^a,b,c   Caballero, Francisco Félix ^a,b,c   Olaya, Beatriz ^d   Haro, Josep Maria ^a,d   Kowal, Paul ^e,f   Chatterji, Somnath ^e  

^a CENTRO DE INVESTIGACIÓN BIOMÉDICA EN RED DE SALUD MENTAL CIBERSAM   (Spain)

^b HOSPITAL UNIVERSITARIO DE LA PRINCESA   (Spain)

^c UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^d UNIVERSITY OF BARCELONA   (Spain)

^e WORLD HEALTH ORGANIZATION   (Switzerland)

^f UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AFFECT; ARTICLE; CHINA; CIRCADIAN RHYTHM; CONSTRUCT VALIDITY; DAY RECONSTRUCTION METHOD; ETHNIC DIFFERENCE; FACTORIAL ANALYSIS; FEMALE; GHANA; HUMAN; HUMAN ACTIVITIES; HUMAN EXPERIMENT; INDIA; INTERNAL CONSISTENCY; INTERVIEW; MALE; MEXICO; NORMAL HUMAN; PERSONAL EXPERIENCE; PSYCHOMETRY; RELIABILITY; RUSSIAN FEDERATION; SOUTH AFRICA; SPAIN; VALIDATION PROCESS; AGED; DAILY LIFE ACTIVITY; EDUCATIONAL STATUS; MIDDLE AGED; PSYCHOLOGY; QUESTIONNAIRE; REPRODUCIBILITY; SATISFACTION; STANDARDS; STATISTICS AND NUMERICAL DATA;

ACTIVITIES OF DAILY LIVING; AGED; CHINA; EDUCATIONAL STATUS; FACTOR ANALYSIS, STATISTICAL; FEMALE; GHANA; HUMANS; INDIA; MALE; MEXICO; MIDDLE AGED; PERSONAL SATISFACTION; PSYCHOMETRICS; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; RUSSIA; SOUTH AFRICA; SPAIN;

EID: 84876575359     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0061534     Document Type: Article

References (35)

1. Kahneman D, Krueger AB, Schkade DA, Schwarz N, Stone AA, (2004) A survey method for characterizing daily life experience: the day reconstruction method. Science 306: 1776-1780.
2. Krueger AB, Schkade DA, (2008) The Reliability of Subjective Well-Being Measures. J Public Econ 92: 1833-1845.
3. Bhattacharyya MR, Whitehead DL, Rakhit R, Steptoe A, (2008) Depressed mood, positive affect, and heart rate variability in patients with suspected coronary artery disease. Psychosom Med 70: 1020-1027.
4. Miron-Shatz T, (2009) Evaluating multiepisode events: boundary conditions for the peak-end rule. Emotion 9: 206-213.
5. Kopperud KH, Vitterso J, (2008) Distinctions between hedonic and eudaimonic well-being: Results from a day reconstruction study among Norwegian jobholders. The Journal of Positive Psychology 3: 174-181.
6. Goss CH, Edwards TC, Ramsey BW, Aitken ML, Patrick DL, (2009) Patient-reported respiratory symptoms in cystic fibrosis. J Cyst Fibros 8: 245-252.
7. Srivastava S, Angelo KM, Vallereux SR, (2008) Extraversion and positive affect: A day reconstruction study of person-environment transactions. J Res Pers 42: 1613-1618.
8. Kahneman D, Deaton A, (2010) High income improves evaluation of life but not emotional well-being. Proc Natl Acad Sci U S A 107: 16489-16493.
9. Oishi S (2010) Culture and well-being: conceptual and methodological issues. In: Diener E, Helliwell JF, Kahneman D, editors. International differences in well-being. New York: Oxford University Press. pp. 34-69.
10. Krueger AB, Stone AA, (2008) Assessment of pain: a community-based diary survey in the USA. Lancet 371: 1519-1525.
11. Diener E, Ng W, Harter J, Arora R, (2010) Wealth and happiness across the world: material prosperity predicts life evaluation, whereas psychosocial prosperity predicts positive feeling. J Pers Soc Psychol 99: 52-61.
12. Miret M, Caballero FF, Mathur A, Naidoo N, Kowal P, et al. (2012) Validation of a measure of subjective well-being: an abbreviated version of the day reconstruction method. PLoS ONE 7: e43887.
13. Kowal P, Chatterji S, Naidoo N, Biritwum R, Fan W, et al. (2012) Data resource profile: the World Health Organization Study on global AGEing and adult health (SAGE). Int J Epidemiol 41: 1639-1649.
14. Kahneman D, Krueger A, (2006) Developments in the Measurement of Subjective Well-Being. J Econ Perspect 20: 3-24.
15. Sokal RR, Rohlf RJ, (1962) The comparison of dendograms by objective methods. Taxon 11: 33-40.
16. Suzuki R, Shimodaira H, (2006) Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinformatics 22: 1540-1542.
17. Flora DB, Curran PJ, (2004) A empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychol Methods 9: 466-491.
18. Reise SP, Widaman KF, Pugh RH, (1993) Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance. Psychol Bull 114: 552-566.
19. Bentler PM, (1990) Comparative fit indexes in structural models. Psychol Bull 107: 238-246.
20. Hu LT, Bentler PM, (1999) Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal 6: 1-55.
21. Yu CY (2002) Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes [dissertation]. University of California, Los Angeles.
22. Steiger JH, (2007) Understanding the limitations of global fit assessment in structural equation modelling. Pers Indiv Differ 42: 893-898.
23. Schreider JB, Stage FK, King J, Nora A, Barlow EA, (2006) Reporting structural equation modeling and confirmatory factor analysis results: a review. J Educ Res 99: 323-337.
24. Schumacker RE, Lomax RG (2004) A beginner's guide to structural equation modeling. Mahwah, N.J.: Lawrence Erlbaum Associates.
25. Burnham KP, Anderson DR (2011) Model selection and multimodel inference: a practical information-theoretic approach. New York: Springer.
26. McCallum RC, Browne MW, Sugawara HM, (1996) Power analysis and determination of sample size for covariance structure modeling. Psychol Methods 1: 130-149.
27. Raykov T, Marcoulides GA (2011) Introduction to psychometric theory. New York: Routledge.
28. Cohen J (1988) Statistical power analysis for the behavioral sciences. New York: Academic Press.
29. R Development Core Team (2008) R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
30. Muthén LK, Muthén BO (2010) Mplus User's Guide. Los Angeles, CA: Muthén & Muthén.
31. StataCorp (2010) Stata Statistical Software. Release 11. College Station, TX: Stata Corporation.
32. Lucas RE, Diener E, Suh E, (1996) Discriminant validity of well-being measures. J Pers Soc Psychol 71: 616-628.
33. Bylsma LM, Taylor-Clift A, Rottenberg J, (2011) Emotional reactivity to daily events in major and minor depression. J Abnorm Psychol 120: 155-167.
34. Stone AA, Schwartz JE, Schkade D, Schwarz N, Krueger A, et al. (2006) A population approach to the study of emotion: diurnal rhythms of a working day examined with the Day Reconstruction Method. Emotion 6: 139-149.
35. Dockray S, Grant N, Stone AA, Kahneman D, Wardle J, et al. (2010) A Comparison of Affect Ratings Obtained with Ecological Momentary Assessment and the Day Reconstruction Method. Soc Indic Res 99: 269-283.