Who Participates? Accounting for Longitudinal Retention in the MIDUS National Study of Health and Well-Being

Journal of Aging and Health

Volumn 22, Issue 3, 2010, Pages 307-331

  Radler, Barry T ^a   Ryff, Carol D ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

aging; demographics; health; longitudinal retention

Indexed keywords

ADAPTIVE BEHAVIOR; ADULT; AGE; AGED; AGING; ARTICLE; BODY MASS; COMPARATIVE STUDY; CONFIDENCE INTERVAL; FEMALE; HEALTH STATUS; HEALTH SURVEY; HUMAN; LONGITUDINAL STUDY; MALE; MARRIAGE; MIDDLE AGED; PSYCHOLOGICAL ASPECT; RISK; SEX DIFFERENCE; STATISTICAL MODEL; TIME; UNITED STATES;

ADAPTATION, PSYCHOLOGICAL; ADULT; AGE FACTORS; AGED; AGING; BODY MASS INDEX; CONFIDENCE INTERVALS; FEMALE; HEALTH STATUS; HEALTH SURVEYS; HUMANS; LOGISTIC MODELS; LONGITUDINAL STUDIES; MALE; MARITAL STATUS; MIDDLE AGED; ODDS RATIO; SEX FACTORS; TIME FACTORS; UNITED STATES;

EID: 77957289087     PISSN: 08982643     EISSN: None     Source Type: Journal    
DOI: 10.1177/0898264309358617     Document Type: Article

References (35)

1. Adams, M.M.E., Scherr, P.A., Branch, L.G., Herbert, L.E., Cook, N.R., Lane, A.M., et al. (1990). A comparison of elderly participants in a community survey with nonparticipants. Public Health Reports, 105, 617-622.
2. Almeida, D.M., Neupert, S.D., Banks, S.R., & Serido, J. ( 2005). Do daily stress processes account for socioeconomic health disparities. Journal of Gerontology: Social Sciences, 60B(Special Issue II), 34-39.
3. Badawi, M.A., Eaton, W.W., Myllyluoma, J., Weimer, L.G., & Gallo, J. ( 1999). Psychopathology and attrition in the Baltimore ECA 15-year follow-up 1981-1996. Social Psychiatry and Psychiatric Epidemiology, 34, 91-98.
4. de Graaf, R., Bijl, V.R., Smit, F., Ravelli, A., & Vollebergh, A.M. (2000). Psychiatric and sociodemographic predictors of attrition in a longitudinal study. American Journal of Epidemiology, 152, 1039-1047.
5. Farmer, M.E., Locke, B.Z., Liu, I.Y., & Moscicki, E.K. (1994). Depressive symptoms and attrition: The NHANES I epidemiologic follow-up study. International Journal of Methods in Psychiatric Research, 4, 19-27.
6. Fitzgerald, J., Gottschalk, P., & Moffitt, R. ( 1998). An analysis of sample attrition in panel data: The Michigan Panel Study of Income Dynamics. Journal of Human Resources, 33, 251-299.
7. Goudy, W.J. ( 1985). Effects of sample attrition and data analysis in the Retirement History Study. Experimental Aging Research, 11, 161-167.
8. Groves, R.M., & Couper M.P. ( 1998). Nonresponse in household interview surveys. New York: John Wiley.
9. Groves, R.M., Presser, S., & Dipko, S. ( 2004). The role of topic interest in survey participation decisions. Public Opinion Quarterly, 68, 2-31.
10. Groves, R.M., Singer, E., & Corning, A. ( 2000). Leverage-saliency theory of survey participation. Public Opinion Quarterly, 64, 299-308.
11. Grzywacz, J.G., Almeida, D.M., Neupert, S.D., & Ettner, S.L. ( 2004). Socioeconomic status and health: A micro-level analysis of exposure and vulnerability to daily stressors. Journal of Health & Social Behavior, 45, 1-16.
12. Hu, P., Adler, N.E., Goldman, N., Weinstein, M., & Seeman, T. ( 2005). Relationship of subjective assessment of socioeconomic status with measures of health in older Taiwanese persons. Journal of the American Geriatrics Society, 53, 483-488.
13. Kahneman, D., & Tversky, A. ( 1979). Prospect theory: An analysis of decisions under risk. Econometrica, 47, 263-291.
14. Kalton, G., Lepkowski, J., Montanari, G.E., & Maligalig, D. ( 1990). Characteristics of second wave nonrespondents in a panel survey. Proceedings of the American Statistical Association (Survey Research Methods Section), pp. 462-467.
15. Kapteyn, A., Michaud, P., Smith, J., & van Soest, A. ( 2006, August). Effects of attrition and non-response in the Health and Retirement Study. Discussion paper from the Institute for the Study of Labor (IZA), Bonn, Germany.
16. Keppel, G. ( 1991). Design and analysis: A researcher's handbook (3rd ed.). Englewood Cliffs, NJ: Prentice-Hall.
17. Lepkowski, J.M., & Couper, M.P. ( 2002). Nonresponse in the second wave of longitudinal household surveys. In R. M. Grove, D. A. Dillman, J. L. Eltinge, & R. J. Little (Eds.), Survey nonresponse (pp. 259-272). New York: John Wiley.
18. Lillard, L.A., & Panis, C.W.A. ( 1998). Panel attrition from the Panel Study of Income Dynamics: Household income, marital status, and mortality. Journal of Human Resources, 33, 437-457.
19. Lindenberger, U., Gilberg, R., Little, T.D., Nuthmann, R., Potter, U., & Baltes, P.B. ( 1999). Sample selectivity and generalizability of the results of the Berlin Aging Study. In P. B. Baltes & K. U. Mater (Eds.), The Berlin Aging Study (pp. 56-82). Cambridge, UK: Cambridge University Press.
20. Matthews, F.E., Chatfield, M., & Brayne, C. ( 2006). An investigation of whether factors associated with short-term attrition change or persist over ten years: Data from the Medical Research Council Cognitive Function and Aging Study. BMC Public Health, 6, 185.
21. May, R.B., Masson, M.E.J., & Hunter, M.A. ( 1990). Application of statistics in behavioral research. New York: Harper & Row.
22. Mihelic, A.H., & Crimmins, E.M. (1997). Loss to follow-up in a sample of Americans 70 years of age and older: The LSOA 1984-1990. Journal of Gerontology, 52B, S37-S48.
23. Neupert, S.D., Miller, L.S., & Lachman, M.E. ( 2006). Physiological reactivity to cognitive stressors: Variations by age and socioeconomic status. International Journal of Aging & Human Development, 62, 221-235.
24. Norris, F.H. ( 1985). Characteristics of older nonrespondents over five waves of a panel study. Journal of Gerontology, 40, 627-636.
25. Powell, D.A., Furchtgott, E., Henderson M., Prescott, L., Mitchell, A., Hartis, P., et al. (1990). Some determinants of attrition in prospective studies on aging. Experimental Aging Research, 16, 17-24.
26. Ryff, C.D., & Singer, B. ( 2005). Social environments and the genetics of aging: Advancing knowledge of protective health mechanisms. Journal of Gerontology, 60B(Special Issue 1), 12-23.
27. Siegler, I.C., & Botwinick, J. ( 1979). A long-term longitudinal study of intellectual ability of older adults: The matter of selective subject attrition. Journal of Gerontology, 34, 242-245.
28. Streib, G. ( 1966). Participants and dropouts in a longitudinal study. Journal of Gerontology, 21, 200-209.
29. Tolonen, H., Helakorpi, S., Talala, K., Helasoja, V., Martelin, T., & Prattala, R. ( 2006). 25-year trends and sociodemographic differences in response rates: Finnish adult health behaviour survey. European Journal of Epidemiology, 21, 409-415.
30. Tourangeau, R., & Ye, C. ( 2009). The framing of the survey request and panel attrition. Public Opinion Quarterly, 73, 338-348.
31. Vink, J.M., Willemsen, G., Stubbe, J.H., Middeldorp, C.M., Ligthart, R.S.L., Baas, K.D., et al. (2004). Estimating nonresponse bias in family studies: Application to mental health and lifestyle. European Journal of Epidemiology, 19, 623-630.
32. Watson, D. ( 2003). Sample attrition between Waves 1 and 5 in the European Community Household Panel. European Sociological Review, 19, 361-378.
33. Watson, N., & Wooden, M. ( 2006, July 12-14). Identifying factors affecting longitudinal survey response. Paper presented at the Methodology of Longitudinal Surveys Conference, University of Essex, Colchester.
34. Winefield, A.H., Winefield, H.R., & Tiggemann, M. ( 1990). Sample attrition bias in a longitudinal study of young people. Australian Journal of Psychology, 42, 75-85.
35. Zabel, J.E. ( 1998). An analysis of attrition in the PSID and the SIPP with an application to a model of labor market behavior. Journal of Human Resources, 33, 479-506.