Harvard School of Public Health/Robert Wood Johnson Foundation Poll: Health Priorities Survey 3--Measures to Improve the Public's Health, United States, 2009 (ICPSR 38374)
Version Date: Mar 9, 2022 View help for published
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International Communications Research (ICR)
Series:
https://doi.org/10.3886/ICPSR38374.v1
Version V1
Summary View help for Summary
This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.
This collection includes variable-level metadata of Health Priorities Survey 3--Measures to Improve the Public's Health, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include:
- Rating public illness prevention systems
- Government health agency job performance
- Rating specific illness preventative measures
- Greatest threats to public health
- State government agency job performance
- Familiarity with state health agencies
- Contact with state health agencies
- Following state health news
- State health department importance
- Rating state health department
- Overall state health
- Health insurance coverage
- Personal health rating
The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092337]. Frequencies and summary statistics for the 45 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.
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State
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- Please visit the Roper Center for Public Opinion Research website for more information on Health Priorities Survey 3--Measures to Improve the Public's Health.
Sample View help for Sample
Nationally representative sample of 1,094 adult respondents
Universe View help for Universe
National adult
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The study dataset contains weight factors that should be employed in any data analysis. Weights are typically used in an attempt to ensure that the survey sample more accurately represents the population. The weight variable in this study is POPWGHT.
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