Literature DB >> 24432049

A comparison of response rates in the English Longitudinal Study of Ageing and the Health and Retirement Study.

Hayley Cheshire1, Mary Beth Ofstedal2, Shaun Scholes3, Mathis Schroeder4.   

Abstract

Survey response rates are an important measure of the quality of a survey; this is true for both longitudinal and cross-sectional surveys. However, the concept of a response rate in the context of a panel survey is more complex than is the case for a cross-sectional survey. There are typically many different response rates that can be calculated for a panel survey, each of which may be relevant for a specific purpose. The main objective of our paper is to document and compare response rates for two long-term panel studies of ageing, the English Longitudinal Study of Ageing (ELSA) and the Health and Retirement Study (HRS) in the United States. To guide our selection and calculation of response rates for the two studies, we use a framework that was developed by Peter Lynn (2005) and present several different types of longitudinal response rates for the two surveys. We discuss similarities and differences in the study designs and protocols and how some of the differences affect comparisons of response rates across the two studies.

Entities:  

Year:  2011        PMID: 24432049      PMCID: PMC3890352          DOI: 10.14301/llcs.v2i2.118

Source DB:  PubMed          Journal:  Longit Life Course Stud


  9 in total

1.  Proxy interviews and bias in the distribution of cognitive abilities due to non-response in longitudinal studies: a comparison of HRS and ELSA.

Authors:  David Weir; Jessica Faul; Kenneth Langa
Journal:  Longit Life Course Stud       Date:  2011-05

2.  Cohort profile: the English longitudinal study of ageing.

Authors:  Andrew Steptoe; Elizabeth Breeze; James Banks; James Nazroo
Journal:  Int J Epidemiol       Date:  2012-11-09       Impact factor: 7.196

3.  Recruitment of women in the National Children's Study Initial Vanguard Study.

Authors:  Dean Baker; Christina Park; Carol Sweeney; Lacey McCormack; Maureen Durkin; Ruth Brenner; Dana Dabelea; Barbara Entwisle
Journal:  Am J Epidemiol       Date:  2014-05-02       Impact factor: 4.897

4.  Health literacy and the digital divide among older Americans.

Authors:  Helen Levy; Alexander T Janke; Kenneth M Langa
Journal:  J Gen Intern Med       Date:  2014-11-12       Impact factor: 5.128

5.  Health numeracy: the importance of domain in assessing numeracy.

Authors:  Helen Levy; Peter A Ubel; Amanda J Dillard; David R Weir; Angela Fagerlin
Journal:  Med Decis Making       Date:  2013-07-03       Impact factor: 2.583

6.  Wealth-Associated Disparities in Death and Disability in the United States and England.

Authors:  Lena K Makaroun; Rebecca T Brown; L Grisell Diaz-Ramirez; Cyrus Ahalt; W John Boscardin; Sean Lang-Brown; Sei Lee
Journal:  JAMA Intern Med       Date:  2017-12-01       Impact factor: 21.873

7.  Health Literacy and Access to Care.

Authors:  Helen Levy; Alex Janke
Journal:  J Health Commun       Date:  2016

8.  Who Returns? Understanding Varieties of Longitudinal Participation in MIDUS.

Authors:  Jieun Song; Barry T Radler; Margie E Lachman; Marsha R Mailick; Yajuan Si; Carol D Ryff
Journal:  J Aging Health       Date:  2021-05-17

9.  Putting cumulative (dis)advantages in context: Comparing the role of educational inequality in later-life functional health trajectories in England and Germany.

Authors:  Martin Wetzel; Bram Vanhoutte
Journal:  PLoS One       Date:  2020-12-30       Impact factor: 3.240

  9 in total

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