Harvard School of Public Health/Robert Wood Johnson Foundation/National Public Radio Poll: What Shapes Health, United States, 2014 (ICPSR 38384)

Version Date: Mar 10, 2022

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Principal Investigator(s):
Social Science Research Solutions (SSRS)

Series:

https://doi.org/10.3886/ICPSR38384.v1

Version V1

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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 the 2014 poll What Shapes Health, a survey from National Public Radio/Robert Wood Johnson Foundation/Harvard School of Public Health conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:

  • Concerned about own health
  • Meaning of health
  • Control over own health
  • Effort into maintaining health
  • Frequency of healthy activities
  • Description of personal health
  • Types of healthy habits
  • On diet to lose weight
  • Ways to improve health
  • Things that cause health problems
  • Childhood problems causing future health issues
  • Participation in community organizations
  • Volunteering improving health
  • Being told to improve health
  • Family/friend behavior influencing health
  • Health habits of family/friends
  • Problems experienced in adulthood
  • Problems experience in childhood
  • Receiving health care
  • Difficulty accessing health care
  • Parents' health
  • Recent serious illnesses
  • Diagnosed with health conditions
  • Frequency of exercising
  • Personal weight
  • Smoking habits
  • Health insurance

The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092363]. Frequencies and summary statistics for the 244 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

Citation

Social Science Research Solutions (SSRS). Harvard School of Public Health/Robert Wood Johnson Foundation/National Public Radio Poll: What Shapes Health, United States, 2014. Roper Center for Public Opinion Research [distributor], 2022-03-10. https://doi.org/10.3886/ICPSR38384.v1

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Funding

National Public Radio, Robert Wood Johnson Foundation, Harvard University. School of Public Health

Subject Terms

Geographic Coverage

Smallest Geographic Unit

State

Distributor(s)

Roper Center for Public Opinion Research
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Time Period(s)

2014

Date of Collection

2014-09-15 -- 2014-10-15

Data Collection Notes

  1. Please visit the Roper Center for Public Opinion Research website for more information on the 2014 What Shapes Health poll.
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Study Purpose

The study was intended to examine the underlying determinants of the quality of healthcare Americans receive, and their overall health.

Study Design

The study used phone numbers randomly generated from landline and cell phone samples, with an overlapping frame design, through Marketing Systems Group's (MSG) GENESYS sampling system. A split-sample design was used to allow more questions in the poll without overly burdening respondents, with respondents randomly assigned to either Split-Sample A (1,211 respondents) or Split-Sample B (1,212 respondents).

The questionnaire was developed by HORP and NPR in consultation with the SSRS project team. The questionnaire was also translated into Spanish.

Sample

The sample includes 2,423 national adults, age 18 or older across the 50 states and the District of Columbia.

Universe

National adult

Unit(s) of Observation

Individual

Data Type(s)

Mode of Data Collection

Response Rates

The combined response rate for this study was 16.5%, with 19% for the landline component and 15% for the cell phone component.

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Original Release Date

2022-03-10

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Weight

The study dataset contains weight factors that should be employed in any data analysis. Typically weights are used in an attempt to assure that the survey sample more accurately represents the population. The weight variable in this study is WEIGHT.

The survey data were weighted to adjust for the fact that not all survey respondents were selected with the same probabilities and account for systematic nonresponse along known population parameters. Weighting involved several stages: 1) adjustment for likelihood of selection (base-weight), 2) post-stratification weighting (raking) by split-sample, and 3) truncating weights ("trimming") to make adjustments to control variance among weights.

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Notes

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.