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

TitleStatistical design and estimation for the national social life, health, and aging project.
Publication TypeJournal Article
Year of Publication2009
AuthorsO'Muircheartaigh, C, Eckman, S, Smith, S
JournalJ Gerontol B Psychol Sci Soc Sci
Volume64 Suppl 1
Paginationi12-9
Date Published2009 Nov
ISSN Number1758-5368
Call Numbernewpubs20091202_OMuircheartaigh.pdf
KeywordsAged, Aged, 80 and over, Aging, Bias, Data collection, Data Interpretation, Statistical, Female, Health Status, Health Surveys, Humans, Longitudinal Studies, Male, Mass Screening, Middle Aged, Research Design, Sampling Studies, Sexual Behavior, Social Behavior, United States
Abstract

<p><b>OBJECTIVES: </b>The paper discusses the sample design of the National Social Life, Health, and Aging Project (NSHAP) and how the design affects how estimates should be calculated from the survey data. The NSHAP study allows researchers to study the links between sexuality and health in older adults. The goal of the design was to represent adults aged 57-85 years in six demographic domains.</p><p><b>METHODS: </b>The sample design begins with a national area probability sample of households, carried out jointly with the 2004 round of the Health and Retirement Study. Selection of respondents for NSHAP balanced age and gender subgroups and oversampled African Americans and Latinos. Data collection was carried out from July 2005 to March 2006.</p><p><b>RESULTS: </b>The survey obtained an overall response rate of 75.5%.</p><p><b>DISCUSSION: </b>The complex sample design requires that the selection probabilities and the field implementation be accounted for in estimating population parameters. The data set contains weights to compensate for differential probabilities of selection and response rates among demographic groups. Analysts should use weights in constructing estimates from the survey and account for the complex sample design in estimating standard errors for survey estimates.</p>

DOI10.1093/geronb/gbp045
User Guide Notes

http://www.ncbi.nlm.nih.gov/pubmed/19567827?dopt=Abstract

Endnote Keywords

Survey Methods/Statistics and Numerical Data/Demographics

Endnote ID

21180

Alternate JournalJ Gerontol B Psychol Sci Soc Sci
Citation Key7370
PubMed ID19567827
PubMed Central IDPMC2763522
Grant ListR01 AG021487 / AG / NIA NIH HHS / United States
R01 AG033903-02 / AG / NIA NIH HHS / United States
R01 AG021487-02 / AG / NIA NIH HHS / United States
R01 AG033903 / AG / NIA NIH HHS / United States
R37 AG030481-04 / AG / NIA NIH HHS / United States
P30 AG012857-15 / AG / NIA NIH HHS / United States
R01 AG033903-01 / AG / NIA NIH HHS / United States
P30 AG012857-14 / AG / NIA NIH HHS / United States
P30 AG012857-16 / AG / NIA NIH HHS / United States
P30 AG012857 / AG / NIA NIH HHS / United States
R37 AG030481-01A1 / AG / NIA NIH HHS / United States
R37 AG030481-03 / AG / NIA NIH HHS / United States
R01 AG033903-04 / AG / NIA NIH HHS / United States
R01 AG021487-01A1 / AG / NIA NIH HHS / United States
R01 AG021487-03 / AG / NIA NIH HHS / United States
P30 AG012857-17 / AG / NIA NIH HHS / United States
R01 AG021487-05 / AG / NIA NIH HHS / United States
R01 AG021487-04 / AG / NIA NIH HHS / United States
P30 AG012857-13 / AG / NIA NIH HHS / United States
P30 AG012857-12 / AG / NIA NIH HHS / United States
R37 AG030481 / AG / NIA NIH HHS / United States
P30 AG012857-18 / AG / NIA NIH HHS / United States
P30 AG012857-19 / AG / NIA NIH HHS / United States
R37 AG030481-02 / AG / NIA NIH HHS / United States
R01 AG033903-03 / AG / NIA NIH HHS / United States
R37 AG030481-05 / AG / NIA NIH HHS / United States