OBJECTIVES: 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. METHODS: 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. RESULTS: The survey obtained an overall response rate of 75.5%. DISCUSSION: 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.
OBJECTIVES: 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. METHODS: 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. RESULTS: The survey obtained an overall response rate of 75.5%. DISCUSSION: 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.
Authors: Jayant M Pinto; David W Kern; Kristen E Wroblewski; Rachel C Chen; L Philip Schumm; Martha K McClintock Journal: J Gerontol B Psychol Sci Soc Sci Date: 2014-11 Impact factor: 4.077
Authors: Yang Claire Yang; Courtney Boen; Karen Gerken; Ting Li; Kristen Schorpp; Kathleen Mullan Harris Journal: Proc Natl Acad Sci U S A Date: 2016-01-04 Impact factor: 11.205
Authors: Gaurav S Ajmani; Kristen E Wroblewski; Fuad M Baroody; Robert M Naclerio; Jayant M Pinto Journal: Int Forum Allergy Rhinol Date: 2016-10-03 Impact factor: 3.858
Authors: Gaurav S Ajmani; Helen H Suh; Kristen E Wroblewski; David W Kern; L Philip Schumm; Martha K McClintock; Jeff D Yanosky; Jayant M Pinto Journal: Environ Res Date: 2016-09-29 Impact factor: 6.498