Skip to main content
Top
Gepubliceerd in: Quality of Life Research 1/2021

25-08-2020

Does the selective attrition of a panel survey of older people affect the multivariate estimations of subjective well-being?

Auteurs: M. Soledad Herrera, Denisse Devilat, M. Beatriz Fernández, Raúl Elgueta

Gepubliceerd in: Quality of Life Research | Uitgave 1/2021

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

The increased population aging has resulted in a growing need for longitudinal studies about the quality of life among older people. Nevertheless, the results of these investigations could be biased because more disadvantaged people leave the original sample. The purpose of this study is to examine how the selective attrition observed in a panel survey affect multivariate models of subjective well-being (SWB). The question is if we could do reliable longitudinal investigations concerning the predictors of SWB in old age.

Methods

This paper examines attrition in a panel of older people in Chile. Attrition was evaluated in the variables that affect elderly SWB. Probit models were fitted to compare dropouts with nondropouts. Then, multivariate probit models were estimated on satisfaction and depressive symptoms, comparing dropouts and nondropouts. Finally, we compared weighted and unweighted multivariate probit models on SWB.

Results

The attrition rate in 2 years was 38.8%, including deaths and 32.9%, excluding them. Survey dropouts had lower satisfaction but not higher depressive symptoms. Among SWB predictors, people without a partner and with lower self-efficacy abandoned more the study. When applying the Becketti, Gould, Lillard, and Welch test, the probit coefficients of the predictor variables on SWB outcome variables were similar for dropouts and nondropouts. Finally, the comparison of multivariate models on SWB with weighting methods did not find substantial differences in the explanatory coefficients.

Conclusion

Although some predictors of attrition were associated with SWB, attrition did not produce biased estimates in multivariate models of life satisfaction life or depressive symptoms in old age.
Literatuur
1.
go back to reference Chandola, T., & O’Shea, S. (2013). Innovative approaches to methodological challenges facing ageing cohort studies. National Centre for Research Methods (NCRM) discussion paper report. Chandola, T., & O’Shea, S. (2013). Innovative approaches to methodological challenges facing ageing cohort studies. National Centre for Research Methods (NCRM) discussion paper report.
3.
go back to reference Chatfield, M. D., Brayne, C. E., & Matthews, F. E. (2005). A systematic literature review of attrition between waves in longitudinal studies in the elderly shows a consistent pattern of dropout between differing studies. Journal of Clinical Epidemiology, 58, 13–19.PubMed Chatfield, M. D., Brayne, C. E., & Matthews, F. E. (2005). A systematic literature review of attrition between waves in longitudinal studies in the elderly shows a consistent pattern of dropout between differing studies. Journal of Clinical Epidemiology, 58, 13–19.PubMed
4.
go back to reference Bhaskaran, K., & Smeeth, L. (2014). What is the difference between missing completely at random and missing at random? International Journal of Epidemiology, 43, 1336–1339.PubMedPubMedCentral Bhaskaran, K., & Smeeth, L. (2014). What is the difference between missing completely at random and missing at random? International Journal of Epidemiology, 43, 1336–1339.PubMedPubMedCentral
5.
go back to reference Iglesias, K., Gazareth, P., & Suter, C. (2017). Explaining the decline in subjective well-being over time in panel data. In: G. Brulé & F. Magging (Eds.), Metrics of subjective well-being: Limits and improvements. Springer, pp 85–105. Iglesias, K., Gazareth, P., & Suter, C. (2017). Explaining the decline in subjective well-being over time in panel data. In: G. Brulé & F. Magging (Eds.), Metrics of subjective well-being: Limits and improvements. Springer, pp 85–105.
6.
go back to reference Lacey, R. J., Jordan, K. P., & Croft, P. R. (2013). Does attrition during follow-up of a population cohort study inevitably lead to biased estimates of health status? PLoS One, 8(12), e83948. PubMedPubMedCentral Lacey, R. J., Jordan, K. P., & Croft, P. R. (2013). Does attrition during follow-up of a population cohort study inevitably lead to biased estimates of health status? PLoS One, 8(12), e83948. PubMedPubMedCentral
9.
go back to reference Li, C. P. (2017). Selective attrition in life satisfaction among elderly people: The harmonisation of longitudinal data. EDP Sciences, p. 01059. Li, C. P. (2017). Selective attrition in life satisfaction among elderly people: The harmonisation of longitudinal data. EDP Sciences, p. 01059.
10.
go back to reference Potočnik, K., & Sonnentag, S. (2013). A longitudinal study of well-being in older workers and retirees: The role of engaging in different types of activities. Journal of Occupational and Organizational Psychology, 86, 497–521. Potočnik, K., & Sonnentag, S. (2013). A longitudinal study of well-being in older workers and retirees: The role of engaging in different types of activities. Journal of Occupational and Organizational Psychology, 86, 497–521.
12.
go back to reference Tampubolon, G. (2015). Delineating the third age: Joint models of older people’s quality of life and attrition in Britain 2002–2010. Aging & Mental Health, 19, 576–583. Tampubolon, G. (2015). Delineating the third age: Joint models of older people’s quality of life and attrition in Britain 2002–2010. Aging & Mental Health, 19, 576–583.
16.
go back to reference Webb, E., Blane, D., McMunn, A., & Netuveli, G. (2011). Proximal predictors of change in quality of life at older ages. Journal of Epidemiology & Community Health, 65, 542–547. Webb, E., Blane, D., McMunn, A., & Netuveli, G. (2011). Proximal predictors of change in quality of life at older ages. Journal of Epidemiology & Community Health, 65, 542–547.
17.
go back to reference Kempen, G. I., & van Sonderen, E. (2002). Psychological attributes and changes in disability among low-functioning older persons: Does attrition affect the outcomes? Journal of clinical epidemiology, 55, 224–229.PubMed Kempen, G. I., & van Sonderen, E. (2002). Psychological attributes and changes in disability among low-functioning older persons: Does attrition affect the outcomes? Journal of clinical epidemiology, 55, 224–229.PubMed
19.
go back to reference Goodman, J. S., & Blum, T. C. (1996). Assessing the non-random sampling effects of subject attrition in longitudinal research. Journal of Management, 22, 627–652. Goodman, J. S., & Blum, T. C. (1996). Assessing the non-random sampling effects of subject attrition in longitudinal research. Journal of Management, 22, 627–652.
20.
go back to reference Rothenbühler, M., & Voorpostel, M. (2016). Attrition in the Swiss Household Panel: Are vulnerable groups more affected than others? In M. Oris, C. Roberts, D. Joye, & M. Ernst Stähli (Eds.), Surveying human vulnerabilities across the life course (pp. 221–242). Switzerland: Springer Nature. Rothenbühler, M., & Voorpostel, M. (2016). Attrition in the Swiss Household Panel: Are vulnerable groups more affected than others? In M. Oris, C. Roberts, D. Joye, & M. Ernst Stähli (Eds.), Surveying human vulnerabilities across the life course (pp. 221–242). Switzerland: Springer Nature.
22.
go back to reference Behr, A., Bellgardt, E., & Rendtel, U. (2005). Extent and determinants of panel attrition in the European Community Household Panel. European Sociological Review, 21, 489–512. Behr, A., Bellgardt, E., & Rendtel, U. (2005). Extent and determinants of panel attrition in the European Community Household Panel. European Sociological Review, 21, 489–512.
23.
go back to reference Satherley, N., Milojev, P., Greaves, L. M., et al. (2015). Demographic and psychological predictors of panel attrition: Evidence from the New Zealand attitudes and values study. PLoS One, 10(3), e0121950.PubMedPubMedCentral Satherley, N., Milojev, P., Greaves, L. M., et al. (2015). Demographic and psychological predictors of panel attrition: Evidence from the New Zealand attitudes and values study. PLoS One, 10(3), e0121950.PubMedPubMedCentral
24.
go back to reference Uhrig, S. N. (2008). The nature and causes of attrition in the British Household Panel Survey. Essex: Institute for Social and Economic Research, University of Essex Colchester. Uhrig, S. N. (2008). The nature and causes of attrition in the British Household Panel Survey. Essex: Institute for Social and Economic Research, University of Essex Colchester.
26.
go back to reference Voorpostel, M. (2009). Attrition in the Swiss Household Panel by demographic characteristics and levels of social involvement. Lausanne: FORS. Voorpostel, M. (2009). Attrition in the Swiss Household Panel by demographic characteristics and levels of social involvement. Lausanne: FORS.
27.
go back to reference Hansen, T., & Slagsvold, B. (2012). The age and subjective well-being paradox revisited: A multidimensional perspective. Norsk epidemiologi, 22, 187–195. Hansen, T., & Slagsvold, B. (2012). The age and subjective well-being paradox revisited: A multidimensional perspective. Norsk epidemiologi, 22, 187–195.
29.
go back to reference Zaninotto, P., Falaschetti, E., & Sacker, A. (2009). Age trajectories of quality of life among older adults: Results from the English Longitudinal Study of Ageing. Quality of Life Research, 18, 1301–1309.PubMed Zaninotto, P., Falaschetti, E., & Sacker, A. (2009). Age trajectories of quality of life among older adults: Results from the English Longitudinal Study of Ageing. Quality of Life Research, 18, 1301–1309.PubMed
31.
go back to reference Hajek, A., & König, H. (2019). The role of optimism, self-esteem, and self-efficacy in moderating the relation between health comparisons and subjective well-being: Results of a nationally representative longitudinal study among older adults. British Journal of Health Psychology, 24, 547–570. PubMed Hajek, A., & König, H. (2019). The role of optimism, self-esteem, and self-efficacy in moderating the relation between health comparisons and subjective well-being: Results of a nationally representative longitudinal study among older adults. British Journal of Health Psychology, 24, 547–570. PubMed
32.
go back to reference Kunzmann, U., Little, T. D., & Smith, J. (2000). Is age-related stability of subjective well-being a paradox? Cross-sectional and longitudinal evidence from the Berlin Aging Study. Psychology and Aging, 15, 511.PubMed Kunzmann, U., Little, T. D., & Smith, J. (2000). Is age-related stability of subjective well-being a paradox? Cross-sectional and longitudinal evidence from the Berlin Aging Study. Psychology and Aging, 15, 511.PubMed
34.
go back to reference Neubauer, A. B., Schilling, O. K., & Wahl, H.-W. (2015). What do we need at the end of life? Competence, but not autonomy, predicts intraindividual fluctuations in subjective well-being in very old age. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 72, 425–435. https://doi.org/10.1093/geronb/gbv052.CrossRef Neubauer, A. B., Schilling, O. K., & Wahl, H.-W. (2015). What do we need at the end of life? Competence, but not autonomy, predicts intraindividual fluctuations in subjective well-being in very old age. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 72, 425–435. https://​doi.​org/​10.​1093/​geronb/​gbv052.CrossRef
35.
go back to reference Gerstorf, D., Heckhausen, J., Ram, N., et al. (2014). Perceived personal control buffers terminal decline in well-being. Psychology and Aging, 29, 612.PubMedPubMedCentral Gerstorf, D., Heckhausen, J., Ram, N., et al. (2014). Perceived personal control buffers terminal decline in well-being. Psychology and Aging, 29, 612.PubMedPubMedCentral
36.
go back to reference Bowling, A., & Iliffe, S. (2011). Psychological approach to successful ageing predicts future quality of life in older adults. Health and Quality of Life Outcomes, 9, 13.PubMedPubMedCentral Bowling, A., & Iliffe, S. (2011). Psychological approach to successful ageing predicts future quality of life in older adults. Health and Quality of Life Outcomes, 9, 13.PubMedPubMedCentral
37.
go back to reference Wahrendorf, M., & Siegrist, J. (2010). Are changes in productive activities of older people associated with changes in their well-being? Results of a longitudinal European study. European Journal of Ageing, 7, 59–68.PubMedPubMedCentral Wahrendorf, M., & Siegrist, J. (2010). Are changes in productive activities of older people associated with changes in their well-being? Results of a longitudinal European study. European Journal of Ageing, 7, 59–68.PubMedPubMedCentral
38.
go back to reference Huxhold, O., Miche, M., & Schüz, B. (2014). Benefits of having friends in older ages: Differential effects of informal social activities on well-being in middle-aged and older adults. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 69, 366–375. Huxhold, O., Miche, M., & Schüz, B. (2014). Benefits of having friends in older ages: Differential effects of informal social activities on well-being in middle-aged and older adults. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 69, 366–375.
39.
go back to reference Hillygus, D. S., & Snell, S. A. (2015). Longitudinal surveys: Issues and opportunities. In L. Atkeson & R. Alvarez (Eds.), Oxford handbook on polling and polling methods (pp. 28–52). New York: Oxford Universituy Press. Hillygus, D. S., & Snell, S. A. (2015). Longitudinal surveys: Issues and opportunities. In L. Atkeson & R. Alvarez (Eds.), Oxford handbook on polling and polling methods (pp. 28–52). New York: Oxford Universituy Press.
40.
go back to reference Brilleman, S. L., Pachana, N. A., & Dobson, A. J. (2010). The impact of attrition on the representativeness of cohort studies of older people. BMC Medical Research Methodology, 10, 71.PubMedPubMedCentral Brilleman, S. L., Pachana, N. A., & Dobson, A. J. (2010). The impact of attrition on the representativeness of cohort studies of older people. BMC Medical Research Methodology, 10, 71.PubMedPubMedCentral
41.
go back to reference Feng, D., Silverstein, M., Giarrusso, R., et al. (2006). Attrition of older adults in longitudinal surveys: Detection and correction of sample selection bias using multigenerational data. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 61, S323–S328. Feng, D., Silverstein, M., Giarrusso, R., et al. (2006). Attrition of older adults in longitudinal surveys: Detection and correction of sample selection bias using multigenerational data. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 61, S323–S328.
42.
go back to reference Kuhn, U. (2009). Attrition analysis of income data. Lausanne: FORS. Kuhn, U. (2009). Attrition analysis of income data. Lausanne: FORS.
43.
go back to reference Matthews, F. E., Chatfield, M., Freeman, C., et al. (2004). Attrition and bias in the MRC cognitive function and ageing study: An epidemiological investigation. BMC Public Health, 4, 12.PubMedPubMedCentral Matthews, F. E., Chatfield, M., Freeman, C., et al. (2004). Attrition and bias in the MRC cognitive function and ageing study: An epidemiological investigation. BMC Public Health, 4, 12.PubMedPubMedCentral
44.
go back to reference Van Beijsterveldt, C., Van Boxtel, M., Bosma, H., et al. (2002). Predictors of attrition in a longitudinal cognitive aging study: The Maastricht Aging Study (MAAS). Journal of Clinical Epidemiology, 55, 216–223.PubMed Van Beijsterveldt, C., Van Boxtel, M., Bosma, H., et al. (2002). Predictors of attrition in a longitudinal cognitive aging study: The Maastricht Aging Study (MAAS). Journal of Clinical Epidemiology, 55, 216–223.PubMed
45.
go back to reference Weuve, J., Tchetgen, E. J. T., Glymour, M. M., et al. (2012). Accounting for bias due to selective attrition: The example of smoking and cognitive decline. Epidemiology (Cambridge, Mass), 23, 119. Weuve, J., Tchetgen, E. J. T., Glymour, M. M., et al. (2012). Accounting for bias due to selective attrition: The example of smoking and cognitive decline. Epidemiology (Cambridge, Mass), 23, 119.
46.
go back to reference Young, A. F., Powers, J. R., & Bell, S. L. (2006). Attrition in longitudinal studies: Who do you lose? Australian and New Zealand Journal of Public Health, 30, 353–361.PubMed Young, A. F., Powers, J. R., & Bell, S. L. (2006). Attrition in longitudinal studies: Who do you lose? Australian and New Zealand Journal of Public Health, 30, 353–361.PubMed
48.
go back to reference Diener, E., Wirtz, D., Biswas-Diener, R., et al. (2009). New measures of well-being. In E. Diener (Ed.), Assessing well-being. The collected works of Ed Diener (pp. 247–266). Dordrecht: Springer. Diener, E., Wirtz, D., Biswas-Diener, R., et al. (2009). New measures of well-being. In E. Diener (Ed.), Assessing well-being. The collected works of Ed Diener (pp. 247–266). Dordrecht: Springer.
50.
go back to reference Carrasco, M., Herrera, S., Fernández, B., & Barros, C. (2013). Impacto del apoyo familiar en la presencia de quejas depresivas en personas mayores de Santiago de Chile. Revista Española de Geriatría y Gerontología, 48, 9–14.PubMed Carrasco, M., Herrera, S., Fernández, B., & Barros, C. (2013). Impacto del apoyo familiar en la presencia de quejas depresivas en personas mayores de Santiago de Chile. Revista Española de Geriatría y Gerontología, 48, 9–14.PubMed
53.
go back to reference Dolan, P., Peasgood, T., & White, M. (2008). Do we really know what makes us happy? A review of the economic literature on the factors associated with subjective well-being. Journal of Economic Psychology, 29, 94–122. Dolan, P., Peasgood, T., & White, M. (2008). Do we really know what makes us happy? A review of the economic literature on the factors associated with subjective well-being. Journal of Economic Psychology, 29, 94–122.
54.
go back to reference Herrera, M. S., Fernández, M. B., & Barros, C. (2014). Older Chileans, quality of life. In A. C. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 4477–4481). Dordrecht: Springer. Herrera, M. S., Fernández, M. B., & Barros, C. (2014). Older Chileans, quality of life. In A. C. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 4477–4481). Dordrecht: Springer.
55.
go back to reference Keng, S.-H., & Wu, S.-Y. (2014). Living happily ever after? The effect of Taiwan’s National Health Insurance on the happiness of the elderly. Journal of Happiness Studies, 15, 783–808. Keng, S.-H., & Wu, S.-Y. (2014). Living happily ever after? The effect of Taiwan’s National Health Insurance on the happiness of the elderly. Journal of Happiness Studies, 15, 783–808.
56.
go back to reference Pinquart, M., & Sorensen, S. (2000). Influences of socioeconomic status, social network, and competence on subjective well-being in later life: A meta-analysis. Psychology and Aging, 15, 187–224.PubMed Pinquart, M., & Sorensen, S. (2000). Influences of socioeconomic status, social network, and competence on subjective well-being in later life: A meta-analysis. Psychology and Aging, 15, 187–224.PubMed
59.
go back to reference Smilkstein, G. (1978). The family APGAR: A proposal for a family function test and its use by physicians. Journal of Family Practice, 6, 1231–1239. Smilkstein, G. (1978). The family APGAR: A proposal for a family function test and its use by physicians. Journal of Family Practice, 6, 1231–1239.
63.
go back to reference Alderman, H., Behrman, J. R., Kohler, H.-P., et al. (1999). Attrition in longitudinal household survey data: Some tests for three developing-country samples. Washington, DC: The World Bank. Alderman, H., Behrman, J. R., Kohler, H.-P., et al. (1999). Attrition in longitudinal household survey data: Some tests for three developing-country samples. Washington, DC: The World Bank.
64.
go back to reference Outes-Leon, I., & Dercon, S. (2008). Survey attrition and attrition bias in Young Lives. Yong Lives Technical Note, 51. Outes-Leon, I., & Dercon, S. (2008). Survey attrition and attrition bias in Young Lives. Yong Lives Technical Note, 51.
65.
go back to reference Becketti, S., Gould, W., Lillard, L., & Welch, F. (1988). The panel study of income dynamics after fourteen years: An evaluation. Journal of Labor Economics, 6, 472–492. Becketti, S., Gould, W., Lillard, L., & Welch, F. (1988). The panel study of income dynamics after fourteen years: An evaluation. Journal of Labor Economics, 6, 472–492.
66.
go back to reference Fitzgerald, J., Gottschalk, P., & Moffitt, R. (1998). An analysis of sample attrition in panel data. The Journal of Human Resources, 33, 251–299. Fitzgerald, J., Gottschalk, P., & Moffitt, R. (1998). An analysis of sample attrition in panel data. The Journal of Human Resources, 33, 251–299.
68.
go back to reference Arif, G. M., & Bilquees, F. (2006). An Analysis of sample attrition in the PSES panel data. Islamabad: Pakistan Institute of Development Economics. Arif, G. M., & Bilquees, F. (2006). An Analysis of sample attrition in the PSES panel data. Islamabad: Pakistan Institute of Development Economics.
69.
go back to reference Baulch, B., & Quisumbing, A. (2011). Testing and adjusting for attrition in household panel data. CPRC Toolkit Note. Baulch, B., & Quisumbing, A. (2011). Testing and adjusting for attrition in household panel data. CPRC Toolkit Note.
71.
go back to reference Ayala, L., Navarro, C., & Sastre, M. (2006). Cross-country income mobility comparisons under panel attrition: The relevance of weighting schemes. ECINEQ Working Paper 47. Ayala, L., Navarro, C., & Sastre, M. (2006). Cross-country income mobility comparisons under panel attrition: The relevance of weighting schemes. ECINEQ Working Paper 47.
72.
go back to reference Kalton, G., & Brick, M. (2000). Weighting schemes for household panel surveys. In D. Rose (Ed.), Researching social and economic change. The uses of household panel studies (pp. 96–112). London: Routledge. Kalton, G., & Brick, M. (2000). Weighting schemes for household panel surveys. In D. Rose (Ed.), Researching social and economic change. The uses of household panel studies (pp. 96–112). London: Routledge.
73.
go back to reference Valliant, R., Dever, J. A., & Kreuter, F. (2013). Practical tools for designing and weighting survey samples. New York: Springer. Valliant, R., Dever, J. A., & Kreuter, F. (2013). Practical tools for designing and weighting survey samples. New York: Springer.
74.
go back to reference Nicoletti, C., & Buck, N. (2004). Explaining interviewee contact and co-operation in the British and German household panels. ISER Working Paper Series, 6 Nicoletti, C., & Buck, N. (2004). Explaining interviewee contact and co-operation in the British and German household panels. ISER Working Paper Series, 6
78.
go back to reference Jacomb, P. A., Jorm, A. F., Korten, A. E., et al. (2002). Predictors of refusal to participate: A longitudinal health survey of the elderly in Australia. BMC Public Health, 2, 4.PubMedPubMedCentral Jacomb, P. A., Jorm, A. F., Korten, A. E., et al. (2002). Predictors of refusal to participate: A longitudinal health survey of the elderly in Australia. BMC Public Health, 2, 4.PubMedPubMedCentral
79.
go back to reference 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 Ageing Study (MRC CFAS). BMC Public Health, 6, 185.PubMedPubMedCentral 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 Ageing Study (MRC CFAS). BMC Public Health, 6, 185.PubMedPubMedCentral
80.
go back to reference Voorpostel, M., & Lipps, O. (2011). Attrition in the Swiss Household Panel: Is change associated with drop-out? Journal of Official Statistics, 27, 301–328. Voorpostel, M., & Lipps, O. (2011). Attrition in the Swiss Household Panel: Is change associated with drop-out? Journal of Official Statistics, 27, 301–328.
Metagegevens
Titel
Does the selective attrition of a panel survey of older people affect the multivariate estimations of subjective well-being?
Auteurs
M. Soledad Herrera
Denisse Devilat
M. Beatriz Fernández
Raúl Elgueta
Publicatiedatum
25-08-2020
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 1/2021
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02612-4

Andere artikelen Uitgave 1/2021

Quality of Life Research 1/2021 Naar de uitgave