Attrition of older adults in longitudinal surveys: Detection and correction of sample selection bias using multigenerational data

Journals of Gerontology - Series B Psychological Sciences and Social Sciences

Volumn 61, Issue 6, 2006, Pages

  Feng, Du ^a   Silverstein, Merril ^b   Giarrusso, Roseann ^c   McArdle, John J ^b   Bengtson, Vern L ^b  

^a TEXAS TECH UNIVERSITY   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; AGING; CHILD PARENT RELATION; FUNCTIONAL STATUS; HEALTH CARE QUALITY; HEALTH STATUS; HEALTH SURVEY; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MORTALITY; NONRESPONSE BIAS; PRIORITY JOURNAL; REVIEW; SAMPLING; SAMPLING ERROR; STATISTICAL ANALYSIS;

EID: 33751585975     PISSN: 10795014     EISSN: None     Source Type: Journal    
DOI: 10.1093/geronb/61.6.S323     Document Type: Review

References (17)

1. Beckett, M. (2000). Do health interview surveys yield reliable data on chronic illness among older respondents? American Journal of Epidemiology, 151, 315-323.
2. Bengtson, V. L., & Schrader, S. S. (1982). Parent-child relations. In D. Mangen & W. Peterson (Eds.), Handbook of research instruments in social gerontology (Vol. 2, pp. 115-185). Minneapolis: University of Minnesota Press.
3. Cnaan, A., Laird, N. M., & Slasor, P. (1997). Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data. Statistics in Medicine, 16, 2349-2380.
4. Cummins, R. A. (1998. September). Measuring subjective life quality by proxy response. Paper presented at the Australian Society for the Study of Intellectual Disability National Conference. Adelaide, South Australia.
5. Giarrusso, R., Feng, D., & Bengtson, V. L. (2005). The intergenerational stake over 20 years. In M. Silverstein (Ed.). Annual review of gerontology and geriatrics (pp. 55-76). New York: Springer.
6. Giarrusso, R., Stallings, M., & Bengtson, V. L. (1995). The "intergenerational stake" hypothesis revisited: Parent-child differences in perceptions of relationships 20 years later. In V. L. Bengtson, K. W. Schaie, & L. M. Burton (Eds.). Intergenerational issues in aging: Effects of societal change (pp. 227-263). New York: Springer.
7. Little, R. J. A. (1995). Modeling the drop-out mechanism in repeated-measures studies. Journal of the American Statistical Association, 90, 1112-1121.
8. Little, R. J. A., & Rubin, D. B. (1987). Statistical analysis with missing data. New York: Wiley.
9. Magaziner, J. (1997). Use of proxies to measure health and functional outcomes in effectiveness research in persons with Alzheimer disease and related disorders. Alzheimer Disease and Associated Disorders, 11, 168-174.
10. Marshall, V. W. (1995). Commentary: A finding in search of an interpretation: Discussion of "The intergenerational stake hypothesis revisited." In V. L. Bengtson, K. W. Schaie, & L. M. Burton (Eds.), Adult intergenerational relations: Effects of societal change (pp. 277-287). New York: Springer.
11. McArdle, J. J., & Hamagami, F. (1992). Modeling incomplete longitudinal and cross-sectional data using latent growth structural models. Experimental Aging Research, 18, 145-166.
12. McArdle, J. J., & Hamagami, F. (2001). Linear dynamic analyses of incomplete longitudinal data. In L. Collins & A. Sayer (Eds.), Methods for the analysis of change (pp. 137-176). Washington, DC: APA Press.
13. Neumann, P. J., Araki, S. S., & Gutterman, E. M. (2000). The use of proxy respondents in studies of older adults: Lessons, challenges, and opportunities. Journal of the American Geriatrics Society, 48, 1646-1654.
14. Newman, D. (2003). Longitudinal modeling with randomly and systematically missing data: A simulation of ad hoc, maximum likelihood, and multiple imputation techniques. Organizational Research Methods, 6, 328-362.
15. Parker, C. J., Morgan, K., & Dewey, M. E. (1997). Physical illness and disability among elderly people in England and Wales: The Medical Research Council Cognitive Function and Ageing study. Journal of Epidemiology and Community Health, 51, 494-501.
16. Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., & Congdon, R. T. (2000). Hierarchical linear and nonlinear modeling. Lincolnwood, IL Scientific Software International.
17. Stancliffe, R. J. (1999). Proxy respondents and the reliability of the Quality of Life Questionnaire empowerment factor. Journal of Intellectual Disability Research, 43, 185-193.