Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 7-Day Trial for You or Your Team.

Learn More →

Estimating the Nonresponse BiasDue to Refusals in Telephone Surveys

Estimating the Nonresponse BiasDue to Refusals in Telephone Surveys Abstract This paper attempts to aid the process of accumulating the necessary information for making more informed judgments about the effects of nonresponse under different conditions. Two measures, which permit quantifiable nonsubjective assessment of the effects of nonresponse on sample estimates, are introduced and are used to examine the effects of respondent refusals in a random-digit-dialed general population telephone survey of over 1,200 households as the response rate isincreased from 74.5 percent to 86.8 percent. By applying these measures under a wide range of conditions, the adequacy of various response rates may be assessed and more rational decisions made about the costs and benefits of devoting extraordinary resources to minimizing nonresponse. This content is only available as a PDF. © 1979, the American Association for Public Opinion Research http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Public Opinion Quarterly Oxford University Press

Estimating the Nonresponse BiasDue to Refusals in Telephone Surveys

Public Opinion Quarterly , Volume 43 (2) – Jan 1, 1979

Loading next page...
 
/lp/oxford-university-press/estimating-the-nonresponse-biasdue-to-refusals-in-telephone-surveys-0wtSp14Zt0

References (23)

Publisher
Oxford University Press
Copyright
© 1979, the American Association for Public Opinion Research
ISSN
0033-362X
eISSN
1537-5331
DOI
10.1086/268513
Publisher site
See Article on Publisher Site

Abstract

Abstract This paper attempts to aid the process of accumulating the necessary information for making more informed judgments about the effects of nonresponse under different conditions. Two measures, which permit quantifiable nonsubjective assessment of the effects of nonresponse on sample estimates, are introduced and are used to examine the effects of respondent refusals in a random-digit-dialed general population telephone survey of over 1,200 households as the response rate isincreased from 74.5 percent to 86.8 percent. By applying these measures under a wide range of conditions, the adequacy of various response rates may be assessed and more rational decisions made about the costs and benefits of devoting extraordinary resources to minimizing nonresponse. This content is only available as a PDF. © 1979, the American Association for Public Opinion Research

Journal

Public Opinion QuarterlyOxford University Press

Published: Jan 1, 1979

There are no references for this article.