Selective attrition in life satisfaction among elderly people: the harmonisation of longitudinal data

Chih-Ping Li

doi:10.1051/matecconf/201711901059

All issues

Volume 119 (2017)

MATEC Web Conf., 119 (2017) 01059

References

Open Access

Issue		MATEC Web Conf. Volume 119, 2017 The Fifth International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI 2016)


Article Number		01059
Number of page(s)		8
DOI		https://doi.org/10.1051/matecconf/201711901059
Published online		04 August 2017

D.J. H. Deeg, Attrition in longitudinal population studies: does it affect the generalizability of the findings? An introduction to the series, J Clin Epidemiol, 55, 213-215 (2002) [CrossRef] [Google Scholar]
F.E. Matthews, et al., Attrition and bias in the MRC cognitive function and ageing study: an epidemiological investigation, BMC Public Health, 4, 1-10 (2004) [CrossRef] [Google Scholar]
A.E. Barry, How attrition impacts the internal and external validity of longitudinal research, J Sch Health, 75, 267 (2005) [CrossRef] [Google Scholar]
D. Feng, M. Silverstein, R. Giarrusso, J.J. McArdle, and V.L. Bengtson, Attrition of older adults in longitudinal surveys: detection and correction of sample selection bias using multigenerational data, J Gerontol B Psychol Sci Soc Sci, 61, S323-S328 (2006) [CrossRef] [Google Scholar]
A.J.r.d. Wilson and I.L. Webber, Attrition in a longitudinal study of an aged population, Exp Aging Res, 2, 367-387 (1976) [CrossRef] [Google Scholar]
D.J.H. Deeg, T. van Tilburg, J.H. Smit, and E.D. de Leeuw, Attrition in the longitudinal aging study Amsterdam: the effect of differential inclusion in side studies, J Clin Epidemiol, 55, 319-328 (2002) [CrossRef] [Google Scholar]
M.D. Chatfield, C.E. Brayne, and F.E. Matthews, A systematic literature review of attrition between waves in longitudinal studies in the elderly shows a consistent pattern of dropout between differing studies, J Clin Epidemiol, 8, 13-19 (2005) [CrossRef] [Google Scholar]
D.J. Slymen, J.A. Drew, J.P. Elder, and S.J. Williams, Determinants of non-compliance and attrition in the elderly, International Journal of Epidemiology, 25, 411-419 (1996) [CrossRef] [Google Scholar]
K. Morgan, The Nottingham Longitudinal Study of Activity and Ageing (NLSAA) Survey Interview and Data Catalogue (University of Sheffield, Britain, 1993) [Google Scholar]
Taiwan Provincial Institute of Family Planning, 1989 Survey of health and living status of the elderly in Taiwan: Questionnaire and survey design, Comparative Study of the Elderly in Four Asian Countries (Taiwan Provincial Institute of Family Planning, Population Studies Centre and Institute of Gerontology, University of Michigan, Taichung, 1989) [Google Scholar]
K. Morgan, The nottingham longitudinal dtudy of activity and ageing: a methodological overview, Age Ageing, 27, 5-11 (1998) [CrossRef] [Google Scholar]
K.A. Wallace and A.J. Wheeler, Reliability generalization of the Life Satisfaction Index, Educ Psychol Meas, 62, 674-684 (2002) [CrossRef] [Google Scholar]
N. Minicuci, et al., Cross-national determinants of quality of life from six longitudinal studies on aging: The CLESA project, Aging Clin Exp Res, 15, 187-202 (2003) [CrossRef] [Google Scholar]
C. Chen, Aging and life satisfaction, Soc Indic Res, 54, 57-79 (2001) [CrossRef] [Google Scholar]
P.A. Bath, D. Deeg, and J.L. Poppelaars, The harmonisation of longitudinal data: a case study using data from cohort studies in The Netherlands and the United Kingdom, Age Ageing, 30, 1419-1437 (2010) [Google Scholar]
C.P. Li, Quality of life among older people in the UK and Taiwan. Thesis, University of Sheffield, Sheffield, UK (2009) [Google Scholar]
J.S. Goodman and T.C. Blum, Assessing the non-random sampling effects of subject attrition in longitudinal research, J Manage, 22, 627-652 (1996) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.

[1] D.J. H. Deeg, Attrition in longitudinal population studies: does it affect the generalizability of the findings? An introduction to the series, J Clin Epidemiol, 55, 213-215 (2002) [CrossRef] [Google Scholar]

[2] F.E. Matthews, et al., Attrition and bias in the MRC cognitive function and ageing study: an epidemiological investigation, BMC Public Health, 4, 1-10 (2004) [CrossRef] [Google Scholar]

[3] A.E. Barry, How attrition impacts the internal and external validity of longitudinal research, J Sch Health, 75, 267 (2005) [CrossRef] [Google Scholar]

[4] D. Feng, M. Silverstein, R. Giarrusso, J.J. McArdle, and V.L. Bengtson, Attrition of older adults in longitudinal surveys: detection and correction of sample selection bias using multigenerational data, J Gerontol B Psychol Sci Soc Sci, 61, S323-S328 (2006) [CrossRef] [Google Scholar]

[5] A.J.r.d. Wilson and I.L. Webber, Attrition in a longitudinal study of an aged population, Exp Aging Res, 2, 367-387 (1976) [CrossRef] [Google Scholar]

[6] D.J.H. Deeg, T. van Tilburg, J.H. Smit, and E.D. de Leeuw, Attrition in the longitudinal aging study Amsterdam: the effect of differential inclusion in side studies, J Clin Epidemiol, 55, 319-328 (2002) [CrossRef] [Google Scholar]

[7] M.D. Chatfield, C.E. Brayne, and F.E. Matthews, A systematic literature review of attrition between waves in longitudinal studies in the elderly shows a consistent pattern of dropout between differing studies, J Clin Epidemiol, 8, 13-19 (2005) [CrossRef] [Google Scholar]

[8] D.J. Slymen, J.A. Drew, J.P. Elder, and S.J. Williams, Determinants of non-compliance and attrition in the elderly, International Journal of Epidemiology, 25, 411-419 (1996) [CrossRef] [Google Scholar]

[9] K. Morgan, The Nottingham Longitudinal Study of Activity and Ageing (NLSAA) Survey Interview and Data Catalogue (University of Sheffield, Britain, 1993) [Google Scholar]

[10] Taiwan Provincial Institute of Family Planning, 1989 Survey of health and living status of the elderly in Taiwan: Questionnaire and survey design, Comparative Study of the Elderly in Four Asian Countries (Taiwan Provincial Institute of Family Planning, Population Studies Centre and Institute of Gerontology, University of Michigan, Taichung, 1989) [Google Scholar]

[11] K. Morgan, The nottingham longitudinal dtudy of activity and ageing: a methodological overview, Age Ageing, 27, 5-11 (1998) [CrossRef] [Google Scholar]

[12] K.A. Wallace and A.J. Wheeler, Reliability generalization of the Life Satisfaction Index, Educ Psychol Meas, 62, 674-684 (2002) [CrossRef] [Google Scholar]

[13] N. Minicuci, et al., Cross-national determinants of quality of life from six longitudinal studies on aging: The CLESA project, Aging Clin Exp Res, 15, 187-202 (2003) [CrossRef] [Google Scholar]

[14] C. Chen, Aging and life satisfaction, Soc Indic Res, 54, 57-79 (2001) [CrossRef] [Google Scholar]

[15] P.A. Bath, D. Deeg, and J.L. Poppelaars, The harmonisation of longitudinal data: a case study using data from cohort studies in The Netherlands and the United Kingdom, Age Ageing, 30, 1419-1437 (2010) [Google Scholar]

[16] C.P. Li, Quality of life among older people in the UK and Taiwan. Thesis, University of Sheffield, Sheffield, UK (2009) [Google Scholar]

[17] J.S. Goodman and T.C. Blum, Assessing the non-random sampling effects of subject attrition in longitudinal research, J Manage, 22, 627-652 (1996) [Google Scholar]