National Sleep Foundation 2013 International Bedroom Poll First to Explore Sleep Differences among Six Countries
Tuesday, September 3, 2013
medicine, professionals in the health, medical and science fields, individuals, patients, families affected by drowsy driving and more than 900 healthcare facilities throughout North America.
The 2013 International Bedroom Poll was developed independently by the National Sleep Foundation. NSF received financial support from Febreze to conduct the poll. Information about the National Sleep Foundation, current and other polls and a database of member sleep centers and sleep professionals who can be contacted to comment on this story or refer patients to be interviewed can be found online at www.sleepfoundation.org.
To conduct the poll in the United States and Canada (excluding Quebec) WBA purchased a nationally representative sample of telephone numbers from SDR Consulting, Inc., and the sample targeted those between 25 and 55 years of age. Professional interviewers called from WBA's telephone interviewing facilities located in Crofton, Maryland and Ithaca, New York. Most of the interviewing was conducted on weekdays between 5:00 pm and 9:00 pm, Saturdays between 10:00 am and 2:00 pm, and Sundays between 4:00 pm and 8:00 pm.
For the interviewing in Canada (Quebec), Mexico, the United Kingdom, Germany andJapan, WBA partnered with Rosenthal Research based in Barcelona, Spain to coordinate the international sample purchase as well as programming and administration of the survey instrument. In survey research, the entire population is typically not interviewed, but rather a sample of that population is polled. Therefore, the data are subject to sampling error. The sampling error will vary depending on the sample size and the percentages being examined in the sample.
For the roughly 250 interviews conducted per country for the National Sleep Foundation's 2013 International Bedroom Poll, we can expect the values from our sample to be within about 6 percentage points of the true population value, 95 percent of the time. That means, if we get a value of 50 percent from our sample, we can