Literature DB >> 34918147

Sample Design and Estimation in the National Social Life, Health, and Aging Project: Round 3 (2015-2016).

Colm O'Muircheartaigh1, Ned English2, Steven Pedlow3, L Philip Schumm4.   

Abstract

OBJECTIVES: This article, and corresponding articles for the earlier rounds of the National Social Life, Health, and Aging Project (NSHAP), provide the scientific underpinning for the statistical analysis of NSHAP data. The 2015-2016 round of data collection for NSHAP comprised the third wave of data collection for the original cohort born 1920-1947 (C1) and the first wave of data collection for a second cohort born 1948-1965 (C2). Here we describe (a) our protocol for reinterviewing C1; (b) our approach to the sample design for C2, including the frame construction, stratification, clustering, and within-household selection; and (c) the construction of cross-sectional weights for the entire 2015-2016 sample when analyzed at the individual level or when analyzed as a sample of cohabiting couples. We also provide guidance on computing design-based standard errors.
METHODS: The sample for C2 was drawn independently of the C1 sample using the NORC U.S. National Sampling Frame. A probability sample of households containing at least one individual born 1948-1965 was drawn, and from these, each age-eligible individual was included together with their cohabiting spouse or partner (even if not age-eligible). This C2 sample was combined with the C1 sample to yield a sample representative of the U.S. population of adults born 1920-1965.
RESULTS: Among C1, we conducted 2,409 interviews corresponding to a 91% conditional response rate (i.e., among previous respondents); the unconditional three-wave response rate for the original C1 sample was 71%. Among C2, we conducted 2,368 interviews corresponding to a response rate of 76%. DISCUSSION: Together C1 and C2 permit inference about the U.S. population of home-dwelling adults born from 1920 to 1965. In addition, three waves of data from C1 are now available, permitting longitudinal analyses of health outcomes and their determinants among older adults.
© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Cohort study; Health outcomes; Population aging; Sampling frame; Sampling weights; Survey nonresponse; Variance estimation

Mesh:

Year:  2021        PMID: 34918147      PMCID: PMC8678429          DOI: 10.1093/geronb/gbab182

Source DB:  PubMed          Journal:  J Gerontol B Psychol Sci Soc Sci        ISSN: 1079-5014            Impact factor:   4.077


  5 in total

1.  Instrument development, study design implementation, and survey conduct for the national social life, health, and aging project.

Authors:  Stephen Smith; Angela Jaszczak; Jessica Graber; Katie Lundeen; Sara Leitsch; Erin Wargo; Colm O'Muircheartaigh
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2009-04-07       Impact factor: 4.077

2.  Statistical design and estimation for the national social life, health, and aging project.

Authors:  Colm O'Muircheartaigh; Stephanie Eckman; Stephen Smith
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2009-06-30       Impact factor: 4.077

3.  Sample design, sample augmentation, and estimation for Wave 2 of the NSHAP.

Authors:  Colm O'Muircheartaigh; Ned English; Steven Pedlow; Peter K Kwok
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2014-11       Impact factor: 4.077

4.  Pseudoreplication: further evaluation and applications of the balanced half-sample technique.

Authors:  P J McCarthy
Journal:  Vital Health Stat 2       Date:  1969-01

5.  Replication: an approach to the analysis of data from complex surveys.

Authors:  P J McCarthy
Journal:  Vital Health Stat 2       Date:  1966-04
  5 in total
  1 in total

1.  Delayed medical care and its perceived health impact among US older adults during the COVID-19 pandemic.

Authors:  Selena Zhong; Megan Huisingh-Scheetz; Elbert S Huang
Journal:  J Am Geriatr Soc       Date:  2022-04-13       Impact factor: 7.538

  1 in total

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