Cologne, Germany

Mixed-Mode Surveys

online course
when 24 August 2022 - 26 August 2022
language English
duration 1 week
fee EUR 200

Due to decreasing response rates around the world, survey designers must explore new ways of recruiting respondents for their surveys. One popular option is to offer different modes for survey participation, thus allowing target persons to participate in the survey mode that suits them best. While mixing survey modes for data collection can have positive effects on response rates, sample balance, and survey costs, the question arises of whether the data from different survey modes can be easily pooled and compared. This question also applies to data from long-standing survey programs that, in the course of the pandemic, had to refrain from face-to-face surveys and to collect data in other (mostly self-administered) survey modes.

In this short course, we provide an overview of empirical evidence related to the benefits and drawbacks of using multiple modes for data collection and outline some recommendations for the implementation of mixed-mode surveys. Specifically, we will cover topics such as mixed-mode-specific questionnaire design considerations, experimental evidence on comparing mixed-mode surveys with single-mode surveys, and optimal strategies of how to implement them. The practical part of the course provides an introduction on statistical methods for testing measurement equivalence of multi-item scales for mixed-mode and mixed-device survey data employing confirmatory factor analysis with multiple groups representing different modes. Furthermore, we demonstrate its use with prepared examples using the programs R-lavaan, Mplus Automation, and Mplus.

Course leader

Dr. Sven Stadtmüller, GESIS & Frankfurt University of Applied Sciences, Germany
Dr. Henning Silber, GESIS – Leibniz Institute for the Social Sciences, Germany
Prof. em. Dr. Peter Schmidt, University of Giessen & University of Mainz, Germany

Target group

Participants will find the course useful if:
- they plan or conduct their own mixed-mode survey;
- they plan to use or already use data from mixed-mode surveys;
- they aim for a better understanding of the peculiarities of mixed-mode surveys.

Prerequisites
- Basic knowledge in quantitative social sciences; practical experience in conducting surveys will be beneficial.
- Basic knowledge of multivariate statistics, esp. factor analysis.
- Experiences with R/R Studio and/or MPlus.

Course aim

By the end of the course participants will:
- have a general understanding of advantages and disadvantages of survey modes and of mixing them with a data collection;
- have a general understanding of the peculiarities of mixed-mode surveys regarding nonresponse and measurement error as well as questionnaire design;
- have a general understanding of procedures for testing measurement equivalence of survey data collected via different survey modes/devices and its implementation in R-lavaan and Mplus.

Prerequisites:
- Basic knowledge in quantitative social sciences; practical experience in conducting surveys will be beneficial
- Basic knowledge of multivariate statistics, esp. factor analysis
- Experiences with R/R Studio and/or MPlus

Credits info

Certificate of attendance issued upon completion.

Fee info

EUR 200: Student/PhD student rate.
The rates include the tuition fee and the course materials.
EUR 300: Academic/non-profit rate.
The rates include the tuition fee and the course materials.

Scholarships

Scholarships are available from the German Academic Exchange Service (DAAD) and the European Survey Research Association (ESRA), see https://www.gesis.org/en/gesis-training/what-we-offer/summer-school-in-survey-methodology/scholarships.