Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/91669 
Autor:innen: 
Erscheinungsjahr: 
2013
Schriftenreihe/Nr.: 
ISER Working Paper Series No. 2013-09
Verlag: 
University of Essex, Institute for Social and Economic Research (ISER), Colchester
Zusammenfassung: 
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 analysed 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 subsequent waves. Implications and limitations are discussed.
Schlagwörter: 
longitudinal survey
mixed mode survey
CAPI
CATI
reliability
quasi-simplex models
latent Markov chains
JEL: 
C81
C83
Dokumentart: 
Working Paper

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