Assessing the feasibility and sample quality of a national random digit dial cell phone survey of young adults
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Sandra E. Echeverría, Associate Professor (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
Abstract: The majority of adults aged 18–34 years have only cellular phones, making random-digit dialing of landline telephones an obsolete methodology for surveillance of this population. However, 95% of this group has cellular phones. This article reports on the 2011 National Young Adult Health Survey (NYAHS), a pilot study conducted in the 50 US states and Washington, DC, that used random-digit dialing of cellular phones and benchmarked this methodology against that of the 2011 Behavioral Risk Factor Surveillance System (BRFSS). Comparisons of the demographic distributions of subjects in the NYAHS and BRFSS (aged 18–34 years) with US Census data revealed adequate reach for all demographic subgroups. After adjustment for design factors, the mean absolute deviations across demographic groups were 3 percentage points for the NYAHS and 2.8 percentage points for the BRFSS, nationally, and were comparable for each census region. Two-sided z tests comparing cigarette smoking prevalence revealed no significant differences between NYAHS and BRFSS participants overall or by subgroups. The design effects of the sampling weight were 2.09 for the NYAHS and 3.26 for the BRFSS. Response rates for the NYAHS and BRFSS cellular phone sampling frames were comparable. Our assessment of the NYAHS methodology found that random-digit dialing of cellular phones is a feasible methodology for surveillance of young adults.
Assessing the feasibility and sample quality of a national random digit dial cell phone survey of young adults
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Additional Information
- Publication
- American Journal of Epidemiology. 2014 Jan 1;179(1):39-47.
- Language: English
- Date: 2013
- Keywords
- cellular phone, random-digit dialing, sample quality, sampling, single-frame sampling design, surveillance, survey methodology, young adults