POQ Special Issues
Cell Phone Numbers and Telephone Surveying in the U.S. - 2007 Special Issue
The latest special issue of POQ, edited by Paul J. Lavrakas, looks into the growing number of Americans who only use cell phones and the effect of this trend on surveying. Articles included in this free-access issue address topics such as the possible future inaccuracy of surveys using only landlines, the effect of the rising percentage of cell-only households on surveys, and the decline in younger respondents in landline-only surveys.
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Table of Contents
J. Michael Brick and Clyde Tucker
Mitofsky–Waksberg: Learning From The Past
John Ehlen and Patrick Ehlen
Cellular-Only Substitution in the United States as Lifestyle Adoption: Implications for Telephone Survey Coverage
Stephen J. Blumberg and Julian V. Luke
Coverage Bias in Traditional Telephone Surveys of Low-Income and Young Adults
Courtney Kennedy
Evaluating the Effects of Screening for Telephone Service in Dual Frame RDD Surveys
Scott Keeter, Courtney Kennedy, April Clark, Trevor Tompson, and Mike Mokrzycki
What's Missing from National Landline RDD Surveys?: The Impact of the Growing Cell-Only Population
J. Michael Brick, W. Sherman Edwards, and Sunghee Lee
Sampling Telephone Numbers and Adults, Interview Length, and Weighting in The California Health Interview Survey Cell Phone Pilot Study
Michael W. Link, Michael P. Battaglia, Martin R. Frankel, Larry Osborn, and Ali H. Mokdad
Reaching the U.S. Cell Phone Generation: Comparison of Cell Phone Survey Results with an Ongoing Landline Telephone Survey
Paul J. Lavrakas, Charles D. Shuttles, Charlotte Steeh, and Howard Fienberg
The State of Surveying Cell Phone Numbers in the United States: 2007 and Beyond
Nonresponse Bias in Household Surveys - 2006 Special Issue
This special issue of POQ, edited by Eleanor Singer, focuses on issues that are currently occupying center stage among survey researchers. As response rates to surveys continue to decline, questions about the impact of such a decline on survey estimates assume increasing importance. The issue’s lead article takes a close look at the relationship between nonresponse rates and nonresponse bias, concluding that the rate of nonresponse alone is not a good predictor of nonresponse bias. Instead, the article suggests various ways in which nonresponse can lead to biased survey estimates and offers practical suggestions for coping with them.
Nonresponse has preoccupied survey researchers for at least 15 years. This issue of POQ, which presents the most up-to-date theory and research relevant to the topic, is essential for survey practitioners and survey methodologists.
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