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Open AccessJournal ArticleDOI

Characteristics of Cell Phone Only, Listed, and Unlisted Telephone Households

TLDR
In this paper, the authors compared the results of a CATI telephone survey of three different samples of households: (1) cell phone only households; (2) directory listed households; and (3) unlisted households.
Abstract
Cell phone only households have increased from about 4% in 2004 to over 14% in 2007. Since cell phone only households are not included in random digit dialing (RDD) samples, they represent a major source of noncoverage error. To assess the extent of this noncoverage error we compared the results of a CATI telephone survey of three different samples of households: (1) cell phone only households; (2) directory listed households; and (3) unlisted households. The survey results are based on samples of at least 400 respondents per group, and show significant differences in demographics between all three groups, as well as differences in attitudinal measures. The results indicate that including cell phone only households in a telephone samples can lead to substantial improvements in coverage. Cell phone only respondents tend to be younger, single, and male, and tend to rent rather than own their home, and have either less or more education than respondents from listed and unlisted RDD samples. Cell phone only respondents are also more likely to have more than one cell phone, and to have full time employment. A significant difference was also observed for political party affiliation. The cell phone only sample also picked up the highest rate of Asian respondents. We found significant differences in the characteristics of directory listed vs unlisted households as well. Listed households are the least likely to have a computer in the home, have fewer male respondents, have the highest proportion of retired, and elderly respondents, the highest proportion of white and married respondents. The paper discusses the implications of these results for obtaining representative samples for telephone surveys.

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Journal ArticleDOI

Reconsidering barriers to wind power projects: community engagement, developer transparency and place

TL;DR: In this article, a nationally representative survey of individuals living within 8 km of over 600 wind power projects in the United States, generating 1705 telephone, web, and mail queries.
Journal ArticleDOI

Total Error in a Big Data World: Adapting the TSE Framework to Big Data

TL;DR: The Total Error Framework (TEF) is developed, an extension of the TSE framework, to be more inclusive and applicable to many types of Big Data, and unified in that it allows researchers to compare errors in Big Data to errors in survey data.
Journal ArticleDOI

Perceived Need for and Perceived Sufficiency of Mental Health Care in the Canadian Armed Forces: Changes in the Past Decade and Comparisons to the General Population.

TL;DR: Investments in workplace mental health, such as those implemented in the CAF, can lead to improvements in recognizing the need for care (PNC) and subsequently getting those needs met (PSC).
References
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BookDOI

International handbook of survey methodology.

TL;DR: The Cornerstones of Survey Research: as mentioned in this paper, The Logic and Psychology of Constructing Questionnaires, D.D. Dillman, J.J. Hox, E.E. de Leeuw, D., E.L. Stich, The Psychology of Asking Questions, Cosenza, Writing Effective Questions.
Journal ArticleDOI

Reaching the U.S. Cell Phone Generation Comparison of Cell Phone Survey Results with an Ongoing Landline Telephone Survey

TL;DR: In this article, a study was conducted in three states (Georgia, New Mex- ico, and Pennsylvania) as part of the Behavioral Risk Factor Surveillance System (BRFSS), the world's largest ongoing public health telephone survey, to evaluate the effectiveness of conducting the BRFSS interview with a sample drawn from dedicated cell phone telephone exchanges and mixed-use (landline and cell phone) exchanges.
Journal Article

Wireless substitution: state-level estimates from the National Health Interview Survey, January-December 2007.

TL;DR: The results show that the prevalence of wireless-only households and adults in 2007 varied substantially across states, and state-level estimates ranged from 5.1% (Vermont) to 26.2% (Oklahoma) of households and from 4.0% (Delaware) to 25.1%) of adults.
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