16 August 2019
Mixed Mode and Mixed Device Surveys
Mixed-mode surveys are almost inevitable today, especially for academic research and official statistics. Mixing modes has many advantages, but there are also some potential drawbacks. In this course we give an overview of issues in design and analysis and provide tools for designing, implementing and evaluating mixed-mode and mixed-device studies. We will discuss the most common designs for mixing modes in longitudinal, cross-national and single mode surveys. As online surveys are often part of the mix, we will pay special attention to online data collection, and to the device respondents use to respond (e.g. smartphone, tablet, laptop).
In analyzing mixed-mode data it is important to distinguish between selection effects (who responds to which mode) and measurement effects (effect of mode on answer). We will review and practice analysis models for this. Our objective is to provide the participants with a sound background on mixed-mode and mixed-device methodology, as well as on the implications of mixing modes for questionnaire design, total survey error, logistics and data analysis. In addition to in-class hours, participants will work on assignments in small groups. Participants can bring in their own projects or issues associated with mixed-mode surveys to work with. If you want to use this opportunity, please submit a summary (max. 2 pages) of your project to the instructors by July 14.
Prof. Dr. Edith de Leeuw is a full professor in survey methodology and statistics at Utrecht University. Dr. Vera Toepoel is Asst. Professor at the Department of Methodology & Statistics at Utrecht University. Dr. Thomas Klausch is post-doctoral researche
Participants will find the course useful if they
- are considering doing mixed-mode surveys in the future and would like to find out whether this would be a suitable approach;
- think about adding another mode to their (online) survey to improve data quality, e.g. representativeness;
- are planning to use mixed-mode in their research and would like input on design and data collection;
- have used mixed-mode in their research and would like feedback;
- have collected mixed-mode data and want to learn about proper analysis methods;
- want to know more about the design and consequences of mixed-device surveys, e.g. the fact that respondents to web surveys can complete their surveys on different devices (desktop, tablet, mobile phone);
- are interested in mobile surveys (surveys conducted via mobile phones).
- basic knowledge about survey methodology and statistics;
- basic knowledge of survey methodology could be gained in the course 01 “Introduction to Survey Design”;
- basic knowledge of statistics includes analysis of variance, regression analysis, and logistic regression.
Participants will need to bring a laptop with an installed statistical software for performing the practical exercises for this course. The exercises will be performed in SPSS.
By the end of the course participants will
- be familiar with the current scientific discussion on mixed-mode and mixed-device surveys;
- have gained an overview of different mixed-mode designs and strategies for mixing;
- know the advantages and disadvantages of different modes and mixes;
- be able to make an informed judgment about mixed-mode or mixed-device surveys;
- be able to design mixed-mode surveys for their own research;
- be able to properly analyse mixed-mode surveys.
- Certificate of attendance issued upon completion.
- 4 ECTS points via the University of Mannheim for regular attendance and satisfactory work on daily assignments and for submitting a paper/report of about 5000 words to the lecturer(s) up to 4 weeks after the end of the summer school (EUR 50).
EUR 300: Student/PhD student rate.
EUR 450: Academic/non-profit rate.
The rates include the tuition fee, course materials, the academic program, access to library and IT facilities, coffee/tea, and a number of social activities.
10 DAAD scholarships are available via the Institute of Sociology and Social Psychology (ISS) of the University of Cologne.
5 scholarships for participation in one main course are available from the European Survey Research Association (ESRA).