The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Who Participates? Accounting for Longitudinal Retention in the MIDUS National Study of Health and Well-Being
Open accessAbstract
Objectives: This article uses data from MIDUS (Midlife in the United States), a national study of Americans ( N = 7,108), to investigate factors that predict longitudinal retention. With its extensive age range (25-75 at Time 1) and long-term design (9- to 10-year survey interval), MIDUS is useful for investigating common sociodemographic and health predictors of continuing participation. Method: The authors conducted logistic regression analyses of baseline sociodemographic and health variables predicting retention. Select interaction terms examined the interplay between targeted variables. Results: Consistent with prior research, higher retention rates were found among Whites, females, and married individuals as well as those with better health and more education. Interaction analyses further clarified that (a) health status better predicted retention among older compared to younger respondents and among women compared to men, (b) marital status better predicted retention among Whites compared to non-Whites and among women compared to men, and (c) economic status better predicted retention among those with poorer functional health status. Discussion: The authors’ analyses clarify that longitudinal retention varied depending on respondents’ sociodemographic characteristics and their health status. The unique contribution of this article is that factors predicting nonparticipation can be offset by, or compensated for, other factors.
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Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Nonresponse in Household Interview Surveys
Groves, R. M., & Couper, M. P. (1998) · doi:10.1002/9781118490082 · Cited by 761 · cited 3×
“According to Groves and Couper (1998), this effect is mainly due to those with higher educational attainment being better able to appreciate the utility of research and information gathering activities.”
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Cited by
Social relationships and physiological determinants of longevity across the human life span
Yang, Y. C., Boen, C., Gerken, K., Li, T., Schorpp, K., & Harris, K. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1511085112 · Cited by 751
Social relationships and depression: ten-year follow-up from a nationally representative study
Teo, A. R., Choi, H., & Valenstein, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062396 · Cited by 423
Bioindicators in the MIDUS National Study: Protocol, Measures, Sample, and Comparative Context
Dienberg Love, G., Seeman, T. E., Weinstein, M., & Ryff, C. D. (2010) · Journal of Aging and Health · doi:10.1177/0898264310374355 · Cited by 333
“…for the purpose of investigating familial factors in health and well-being; and a national sample of twins, of the same age range as the national RDD sample (for the purpose of investigating genetic influences on health and well-being; see Radler & Ryff, 2010, for information on sample retention).”
BackgroundSelf-citationPiazza, J. R., Charles, S. T., Sliwinski, M. J., Mogle, J., & Almeida, D. M. (2013) · Annals of Behavioral Medicine · doi:10.1007/s12160-012-9423-0 · Cited by 305
Turiano, N. A., Pitzer, L., Armour, C., Karlamangla, A., Ryff, C. D., & Mroczek, D. K. (2012) · The Journals of Gerontology: Series B · doi:10.1093/geronb/gbr072 · Cited by 276
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Metadata
- Authors
- Radler, B. T., & Ryff, C. D.
- Venue
- Journal of Aging and Health
- Publisher
- SAGE Publications
- Published
- 2010-01-26
- Volume
- 22
- Issue
- 3
- Pages
- 307-331
- ISSN
- 0898-2643 (ISSN-L)
- 1552-6887
- OpenAlex
- W2153316544
- Cited by
- 376
- References
- 2
- FWCI
- 57.39
- Type
- journal article
- Language
- en
- Open access
- green
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