2013 Survey of Americans on the U.S. Role in Global Health
The Kaiser Family Foundation 2013 Survey of Americans on the U.S. Role in Global Health was designed and analyzed by public opinion researchers at the Foundation led by Mollyann Brodie, Ph.D., including Liz Hamel and Becky Hanna. The survey was conducted August 6-20, 2013, among a nationally representative random digit dial telephone sample of 1,507 adults ages 18 and older, living in the United States, including Alaska and Hawaii (note: persons without a telephone could not be included in the random selection process). Computer-assisted telephone interviews conducted by landline (752) and cell phone (755, including 427 who had no landline telephone) were carried out in English and Spanish by Braun Research under the direction of Princeton Survey Research Associates International (PSRAI). Both the random digit dial landline and cell phone samples were provided by Survey Sampling International, LLC. For the landline sample, respondents were selected by asking for the youngest adult male or female currently at home based on a random rotation. If no one of that gender was available, interviewers asked to speak with the youngest adult of the opposite gender. For the cell phone sample, interviews were conducted with the person who answered the phone. The survey fieldwork was funded through a grant from the Bill & Melinda Gates Foundation.
The combined landline and cell phone sample was weighted to balance the sample demographics to match estimates for the national population using data from the Census Bureau’s 2011 American Community Survey (ACS) on sex, age, education, race, Hispanic origin, nativity (for Hispanics only), and region along with data from the 2010 Census on population density. The sample was also weighted to match current patterns of telephone use using data from the July-December 2012 National Health Interview Survey. The weight takes into account the fact that respondents with both a landline and cell phone have a higher probability of selection in the combined sample and also adjusts for the household size for the landline sample. All statistical tests of significance account for the effect of weighting.
The margin of sampling error including the design effect for the full sample is plus or minus 3 percentage points. For results based on subgroups, the margin of sampling error may be higher. Sample sizes and margin of sampling errors for other subgroups are available by request. Note that sampling error is only one of many potential sources of error in this or any other public opinion poll.
Methodology for Omnibus Supplement
One additional question (the deficit question labeled O1 and listed on page 18 of the survey topline) was asked on the PSRAI omnibus survey. Different research clients purchase space on the omnibus survey and therefore additional questions covering a wide variety of topics may have preceded or followed this question. The Kaiser Global Health Omnibus Supplement was conducted August 22-25, 2013, among a nationally representative random digit dial telephone sample of 1,001 adults ages 18 and older, living in the continental United States (note: persons without a telephone could not be included in the random selection process). Computer-assisted telephone interviews conducted by landline (501) and cell phone (500, including 253 who had no landline telephone) were carried out in English by MKTG under the direction of PSRAI.
The combined landline and cell phone sample was weighted to balance the sample demographics to match estimates for the national population using data from the Census Bureau’s 2011 American Community Survey (ACS) on sex, age, education, race, Hispanic origin, and region along with data from the 2010 Census on population density. The sample was also weighted to match current patterns of telephone use using data from the July-December 2012 National Health Interview Survey.
The margin of sampling error including the design effect for the full sample on the omnibus supplement is plus or minus 4 percentage points. Full methodological details, including weighted and unweighted values for key demographic variables and response rates are available upon request.