Publication type
Journal Article
Author
Publication date
August 15, 2015
Summary:
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.
Published in
Sociological Methods and Research
Volume and page numbers
Volume: 44 , p.427 -457
DOI
http://dx.doi.org/10.1177/0049124114553802
ISSN
491241
Subject
Notes
Open Access article
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (http://www.uk.sagepub.com/aboutus/openaccess.htm).
Related Publications
-
The impact of mixing modes on reliability in longitudinal studies
Alexandru Cernat,ISER Working Paper Series - 20130703
#522781