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Instrument Development, Study Design Implementation, and Survey Conduct for the National Social Life, Health, and Aging Project

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  • Stephen Smith
  • Angela Jaszczak
  • Jessica Graber
  • Katie Lundeen
  • Sara Leitsch
  • Erin Wargo
  • Colm O'Muircheartaigh

Abstract

The National Opinion Research Center, led by a team of investigators at the University of Chicago, conducted more than 3,000 in-person interviews with a nationally representative sample of adults aged 57--85 years. Data collection included in-person questionnaire items, an extensive array of biomeasures, and a postinterview self-administered questionnaire. The National Social Life, Health, and Aging Project (NSHAP) interview included the collection of 13 biomeasures: weight, waist circumference, height, blood pressure, smell, saliva collection, taste, a self-administered vaginal swab for female respondents, "Get Up and Go," distance vision, touch, oral mucosal transudate, human immunodeficiency virus test, and blood spots. This article discusses the development of NSHAP's instruments and implementation of the study design. Measures, such as response and cooperation rates, are also provided to evaluate the effectiveness of the design and implementation. Copyright 2009, Oxford University Press.

Suggested Citation

  • Stephen Smith & Angela Jaszczak & Jessica Graber & Katie Lundeen & Sara Leitsch & Erin Wargo & Colm O'Muircheartaigh, 2009. "Instrument Development, Study Design Implementation, and Survey Conduct for the National Social Life, Health, and Aging Project," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(suppl_1), pages 20-29.
    • Handle: RePEc:oup:geronb:v:64b:y:2009:i:suppl_1:p:i20-i29
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    File URL: http://hdl.handle.net/10.1093/geronb/gbn013
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    Cited by:

    1. Shiovitz-Ezra, Sharon & Litwin, Howard, 2012. "Social network type and health-related behaviors: Evidence from an American national survey," Social Science & Medicine, Elsevier, vol. 75(5), pages 901-904.
    2. Linda Waite & Aniruddha Das, 2010. "Families, social life, and well-being at older ages," Demography, Springer;Population Association of America (PAA), vol. 47(1), pages 87-109, March.
    3. Andrew Chapman, 2023. "Enhancing Survey Efficiency and Predictive Ability in Energy System Design through Machine Learning: A Workflow-Based Approach for Improved Outcomes," Energies, MDPI, vol. 16(13), pages 1-16, June.
    4. Das, Aniruddha, 2016. "Psychosocial distress and inflammation: Which way does causality flow?," Social Science & Medicine, Elsevier, vol. 170(C), pages 1-8.

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