Germany, Cologne

Mixed-Mode and Mixed-Device Surveys

when 13 August 2018 - 17 August 2018
language English
duration 1 week
credits 4 ECTS
fee EUR 300

In this course, we give an overview of how to design, implement and evaluate mixed-mode and mixed-device surveys. Currently, a large variety of data modes such as telephone interview, personal interview, mail or web survey are available for social surveys. Each mode has its advantages and disadvantages. Sometimes it is straightforward to determine the best mode of data collection; oftentimes, however, the situation is complex and one single mode will not suffice. Therefore, multiple or mixed modes of data collection have become more and more popular. A particular problem of online surveys is that researchers do not know in advance on what device the respondent is going to complete an online survey - regular desktop PCs, tablets, or mobile phones. Each device introduces some kind of selection and measurement bias that needs to be taken into account.
In the first part of the course, we address the major variants of mixed-mode data collection designs, issues in mixed-mode and mixed-device questionnaire design and management of mixed-mode projects. In the second part, we introduce students to analysis of mixed-mode surveys focusing on methods for estimating and adjusting measurement and selection effects. The 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. The format of the course is interactive, combining short lectures with activities as well as possible applications to participants' own research examples and projects. In addition to in-class hours, participants will work on assignments in small groups and each day of the course will start with a discussion of these assignments. Participants can bring in their own projects or issues associated with mixed-mode surveys. They can submit a short summary (max. 2 pages) of their research to the instructors by July 14.

Course leader

Dr. Vera Toepoel is Assistant Professor at the Department of Methodology & Statistics at Utrecht University.
Prof. Dr. Edith de Leeuw is a full professor in survey methodology and statistics at the Utrecht University.
Dr. Thomas Klausch is a post-docto

Target group

Participants will find the course useful if they
- are considering doing mixed-mode research in the future and would like to find out whether this would be a suitable approach;
- are planning to use mixed-mode in their research and would like some input on how to do this;
- have used mixed-mode in their research and would like some feedback;
- think about adding another mode to their web survey to improve data quality, e.g. representativeness;
- have concerns with 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);
- have started on mixed-mode research and are unsure about their data analysis or other elements.

- participants should have basic knowledge about survey methodology and statistics (e.g. analysis of variance and regression analyses);
- basic knowledge of survey methodology could be gained in the course “Introduction to Survey Design”.

Course aim

By the end of the course participants will
- be familiar with the current discussion surrounding mixed-mode/device surveys;
- be familiar with common reasons underlying the choice of mixed-mode research;
- have gained an overview of different mixed-mode designs and strategies for mixing;
- know the advantages and disadvantages of different modes;
- be able to select suitable design elements for their own research;
- be able to analyse mixed-mode/device surveys;
- be able to make an informed judgment about mixed-mode or mixed-device surveys.

Credits info

- Certificate of attendance issued upon completion.
Optional bookings:
- 2 ECTS points via the University of Mannheim for regular attendance and satisfactory work on daily assignments (EUR 20).
- 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).

Fee info

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 Center for Doctoral Studies in Social and Behavioral Sciences (CDSS) at the University of Mannheim.
5 ESRA scholarships are available for one main course.