Scientific Coordination
Sebastian E. Wenz
Tel: +49 221 47694-159
Tel: +49 221 47694-159
Administrative Coordination
Jacqueline Schüller
Tel: +49 0221 47694-160
Tel: +49 0221 47694-160
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Short Course B: Mixed-Mode Surveys
About
Location:
Online via Zoom
Online via Zoom
Course duration:
10:00-15:00 CEST
General Topics:
Course Level:
Format:
Software used:
Duration:
Language:
Fees:
Students: 200 €
Academics: 300 €
Commercial: 600 €
Keywords
Additional links
Lecturer(s): Sven Stadtmüller, Henning Silber, Yannick Diehl, Peter Schmidt
Course description
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.
A detailed syllabus with course times and literature will soon be available for download here.
Target group
Participants will find the course useful if:
Learning objectives
By the end of the course participants will:
Organizational structure of the course
This is a three-day online short course with a total amount of 12 hours of class time. The course structure includes a mix of teaching and exercises. Exercises will be divided in group and individual exercises. During the exercises, lecturers will be available to support the learning process.
Prerequisites
Software and hardware requirements
You should have access to R or Mplus to perform individual exercises. Specifically, for the structural equation models used to test for measurement equivalence, you will need R-lavaan or Mplus version 8.7 and upwards and Mplus Automation. Please note that the free version of Mplus meets the requirements of our course in terms of the number of observed variables used.