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Using a Dual-Frame Sample Design to Increase the Efficiency of Reaching Population Subgroups in a Telephone Survey

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Abstract:

The effort and cost required to reach households and complete interviews in random-digit dialing (RDD) telephone surveys has increased over the past several years. Effort and cost are even greater in RDD surveys when the sample design focuses on specific subgroups within the population, such as particular age or ethnic groups. When the probability of reaching respondents in a specific subgroup is sufficiently low, the cost of using an RDD approach can be prohibitive. Supplementing RDD numbers with numbers from published listings can improve the probability of reaching eligible respondents and thereby lower the effort and cost of screening households and completing interviews. Of course, listed numbers have the important shortcoming of excluding the growing number of households that do not currently have listed numbers. Furthermore, the accuracy of information about household members belonging to particular subgroups may be quite limited in list sampling frames. One possible result of these limitations is survey bias. The goal of this research is to better understand the costs and benefits of using a dual-frame sampling approach in a survey that targets respondents in certain age and ethnic groups. The survey data come from the Legacy Media Tracking Survey, a nationally-representative survey of tobacco-related issues among youths age 12 to 24. Our analysis compares the two sampling frames on both key outcomes of the initial screening of cases and on substantive results among completed interviews. Key outcomes at the screening stage are the level of effort to screen households and eligibility rates among sampled cases. Among completed interviews, we examine differences in the key demographic characteristics (age and ethnicity), as well as other demographic and substantive indicators. This research will allow us to assess the potential of dual-frame designs to provide accurate data on population subgroups with less effort and cost than RDD methods.

Author's Keywords:

sampling frame, population subgroups
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Association:
Name: American Association for Public Opinion Research
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http://www.aapor.org


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MLA Citation:

Currivan, Douglas. and Roe, David. "Using a Dual-Frame Sample Design to Increase the Efficiency of Reaching Population Subgroups in a Telephone Survey" Paper presented at the annual meeting of the American Association for Public Opinion Research, Pointe Hilton Tapatio Cliffs, Phoenix, Arizona, May 11, 2004 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p115936_index.html>

APA Citation:

Currivan, D. B. and Roe, D. , 2004-05-11 "Using a Dual-Frame Sample Design to Increase the Efficiency of Reaching Population Subgroups in a Telephone Survey" Paper presented at the annual meeting of the American Association for Public Opinion Research, Pointe Hilton Tapatio Cliffs, Phoenix, Arizona <Not Available>. 2009-05-26 from http://www.allacademic.com/meta/p115936_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: The effort and cost required to reach households and complete interviews in random-digit dialing (RDD) telephone surveys has increased over the past several years. Effort and cost are even greater in RDD surveys when the sample design focuses on specific subgroups within the population, such as particular age or ethnic groups. When the probability of reaching respondents in a specific subgroup is sufficiently low, the cost of using an RDD approach can be prohibitive. Supplementing RDD numbers with numbers from published listings can improve the probability of reaching eligible respondents and thereby lower the effort and cost of screening households and completing interviews. Of course, listed numbers have the important shortcoming of excluding the growing number of households that do not currently have listed numbers. Furthermore, the accuracy of information about household members belonging to particular subgroups may be quite limited in list sampling frames. One possible result of these limitations is survey bias. The goal of this research is to better understand the costs and benefits of using a dual-frame sampling approach in a survey that targets respondents in certain age and ethnic groups. The survey data come from the Legacy Media Tracking Survey, a nationally-representative survey of tobacco-related issues among youths age 12 to 24. Our analysis compares the two sampling frames on both key outcomes of the initial screening of cases and on substantive results among completed interviews. Key outcomes at the screening stage are the level of effort to screen households and eligibility rates among sampled cases. Among completed interviews, we examine differences in the key demographic characteristics (age and ethnicity), as well as other demographic and substantive indicators. This research will allow us to assess the potential of dual-frame designs to provide accurate data on population subgroups with less effort and cost than RDD methods.

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