DFG project MiMoSe - Quality management for telephone surveys in the context of mixed-mode surveys
(Qualitätsmanagement bei Telefonbefragungen im Rahmen von Mixed-Mode-Surveys)
Project leader
Prof Dr. Michael Häder (TU Dresden), PD Dr. Siegfried Gabler und Dr. Sabine Häder (GESIS)
Project members
Hagen von Hermanni (TU Dresden), Tobias Gramlich (GESIS)
Project term
01.12.2014 – 31.07.2017
Description of the project:
Telephone surveys will remain an essential part of survey research in the future due to their field-technical and sample practical advantages. The contributions of Brick (2013) and Groves et al. (2009) from the USA, Kuusela/Simpanzees from Finland (2012), Ernst Stähli from Switzerland (2012) and Nelson from Great Britain (2012), for example, suggest that this is true not only for Germany but worldwide. Due to the division into access via landline and via mobile network, however, telephone surveys can themselves be understood as mixed-mode studies. In the contact phase and during the actual interview, telephone surveys are complemented by personal oral interviews, postal surveys, and Internet surveys. In addition, the target persons can also be selected via the residents' registration offices. In order to gain a sufficient understanding of the diverse processes involved in such studies, existing knowledge and data from telephone surveys at TU Dresden, USUMA, and the RKI are to be processed in the form of best practice guidelines. The opportunity offered is unique: Due to the wide range of data sets in terms of content and methodology, a large spectrum of information can be evaluated. The results of these analyses are expected to be of great importance for the profession. The previous research by the applicants has shown that their research results have found their way not only into university social research, but also into surveys of serious market and opinion research, and have led to an improvement in data quality. The present project proposal is committed to the same goal.
Project partners
GESIS, Robert-Koch-Institut, USUMA GmbH
Funded by
German Research Foundation (DFG)