Web Survey Bibliography
Title Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse
Author Peytchev, A.; Carley-Baxter, L. R.; Black, M. C.
Source Sociological Methods & Research; 40, 1, pp. 138-168
Year 2011
Database SAGE Journals Online
Access date 22.08.2017
Abstract Random digit dialed telephone surveys are facing two serious problems undermining probability-based inference and creating a potential for bias in survey estimates: declining response rates and declining coverage of the landline telephone frame. Optimum survey designs need to focus reduction techniques on errors that cannot be addressed through statistical adjustment. This requires (a) separating and estimating the relative magnitude of different error sources and (b) evaluating the degree to which each error source can be statistically adjusted. In this study, the authors found significant differences in means both for nonrespondents and for the eligible population excluded from the landline frame, which are also in opposite directions. Differences were also found for element variances and associations, which can affect survey results but are rarely examined. Adjustments were somewhat effective in decreasing both sources of bias, although addressing at least one through data collection led to less bias in the adjusted estimates.
Access/Direct link Journal Homepage (abstract) / (full text)
Year of publication2011
Bibliographic typeJournal article
Web survey bibliography - Sociological Methods & Research (15)
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.
- Taming Big Data: Using App Technology to Study Organizational Behavior on Social Media; 2015; Bail, C. A.
- The Use of a Nonprobability Internet Panel to Monitor Sexual and Reproductive Health in the General...; 2015; Legleye, S; Charrance, G.; Razafindratsima, N.; Bajos, N.; Bohet, A.; Moreau, C.
- The Impact of Mixing Modes on Reliability in Longitudinal Studies; 2014; Cernat, A.
- Panel Attrition - Separating Stayers, Fast Attriters, Gradual Attriters, and Lurkers; 2014; Lugtig, P. J.
- Asking Sensitive Questions: An Evaluation of the Randomized Response Technique Versus Direct Questioning...; 2013; Wolter, F.; Preisendoerfer, P.
- Measurement Effects of Survey Mode on the Equivalence of Attitudinal Rating Scale Questions; 2013; Klausch, L. T., Hox, J., Hox, J., Schouten, B.
- Not by the Book: Facebook as a Sampling Frame; 2012; Brickman Bhutta, C.
- Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse; 2011; Peytchev, A.; Carley-Baxter, L. R.; Black, M. C.
- Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys; 2011; Das, M., Toepoel, V., van Soest, A.
- Introduction to the Special Issue on Web Surveys ; 2009; Witte, J. C.
- Smartphones: An Emerging Tool for Social Scientists; 2009; Raento, M., Oulasvirta, A., Eagle, N.
- Designing Scalar Questions for Web Surveys; 2009; Christian, L. M., Parsons, N. L., Dillman, D. A.
- Web-based network sampling - Efficiency and efficacy of respondent-driven sampling for online research...; 2008; Wejnert, C., Heckathorn, D. D.
- Feeling thermometers versus 7-point scales. Which are better?; 1997; Alwin, D. F.