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Important Considerations When Analyzing Health Survey Data Collected Using a Complex Sample Design

Bibliographic Data

ID11039258
AuthorsJoseph W Sakshaug (0000-0001-7520-353X, Joseph W. Sakshaug is with the Department of Statistical Methods, German Institute for Employment Research, Nuremberg, and the Ludwig Maximilian University of Munich, Munich, Germany. Brady T. West is with the Survey Research Center and the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor.), Brady T West (0000-0003-0160-1388, Joseph W. Sakshaug is with the Department of Statistical Methods, German Institute for Employment Research, Nuremberg, and the Ludwig Maximilian University of Munich, Munich, Germany. Brady T. West is with the Survey Research Center and the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor.)
Year2014
Volume104
Issue1
Pages15-16
Publication date2014-01-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2013.301515
PMID24228679
OpenAlexW2033486279
LanguageEN
Citations received3
References cited2

Researchers often use survey data to answer important public health policy questions. Examples of common data sources used in public health research include the National Health and Nutrition Examination Survey, the National Health Interview Survey, the Medical Expenditure Panel Survey, and the National Ambulatory Medical Care Survey. All these surveys employ a complex sample design to recruit participants into the survey. When performing secondary analyses of complex sample survey data, it is necessary to remind ourselves of the key features of these designs that must be taken into account to produce valid statistical estimates

Environmental health · Family medicine · Health care · Health insurance · Medical Expenditure Panel Survey · National Health and Nutrition Examination Survey · National Health Interview Survey · Political science · Population · Public health · Sample (material) · Sampling design · Statistics · Survey data collection · Survey methodology · Survey research · Survey sampling · Applied Psychology · Healthcare Policy and Management · Mathematics · Medicine · Nursing · Psychology

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Citations per year0.27
Citation span2015 - 2021 (7)
Highly citedNo

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