Harvard School of Public Health/Robert Wood Johnson Foundation Poll # 2005-DIS: Disparities, United States, 2005 (ICPSR 38348)

Version Date: Mar 8, 2022 View help for published

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International Communications Research (ICR)

Series:

https://doi.org/10.3886/ICPSR38348.v1

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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 Poll # 2005-DIS: Disparities, 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:

  • Receipt of poor quality medical care
  • Problems receiving quality health care due to race/ethnicity
  • Action to ensure racial/ethnic minorities have the same chance to get good quality health care as whites
  • Expectation of doctor to understand personal and cultural background's effects on quality of care
The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092298]. Frequencies and summary statistics for the 100 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

International Communications Research (ICR). Harvard School of Public Health/Robert Wood Johnson Foundation Poll # 2005-DIS: Disparities, United States, 2005. Ithaca, NY: Roper Center for Public Opinion Research [distributor], 2022-03-08. https://doi.org/10.3886/ICPSR38348.v1

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

State

Ithaca, NY: Roper Center for Public Opinion Research
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2005
2005-09-14 -- 2005-09-18
  1. Please visit the Roper Center for Public Opinion Research website for more information on Poll # 2005-DIS: Disparities.
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The sample includes 1,111 national adults.

National adult

Individual
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2022-03-08

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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 POPWGHT.

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Notes

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