Web Survey Bibliography
Title The Impact of Mixing Modes on Reliability in Longitudinal Studies
Author Cernat, A.
Source Sociological Methods & Research; 44, 3, pp. 427-457
Year 2014
Database SAGE Journals Online
Access date 22.08.2017
Abstract Mixed-mode designs are increasingly important in surveys, and large longitudinal studies are progressively moving to or considering such a design. In this context, our knowledge regarding the impact of mixing modes on data quality indicators in longitudinal studies is sparse. This study tries to ameliorate this situation by taking advantage of a quasi-experimental design in a longitudinal survey. Using models that estimate reliability for repeated measures, quasi-simplex models, 33 variables are analyzed by comparing a single-mode CAPI design to a sequential CATI-CAPI design. Results show no differences in reliabilities and stabilities across mixed modes either in the wave when the switch was made or in the subsequent waves. Implications and limitations are discussed
Access/Direct link Journal Homepage (abstract) / (full text)
Year of publication2014
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.