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Scientific Coordination

Dr.
Sabina Haveric
Tel: +49 (0221) 47694 - 166

Administrative Coordination

Angelika Ruf
Tel: +49 221 47694-162

Course 06: Mixed Mode and Mixed Device Survey

Lecturer(s):
Prof. Dr. Edith de Leeuw, Asst. Prof. Dr. Vera Toepoel, Dr. Thomas Klausch

Date: 12.08 - 16.08.2019 ics-file

About the lecturer - Prof. Dr. Edith de Leeuw

About the lecturer - Asst. Prof. Dr. Vera Toepoel

About the lecturer - Dr. Thomas Klausch

Course description

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.
For a full length syllabus of this course, please click here.


Keywords



Target group

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).


Learning objectives

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.


Prerequisites

  • participants should have 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.
 
Course 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.


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