Questionnaire Design

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Questionnaire Design - Course Details

Delve into the course contents and find out about the faculty members.

Single Course Price:

800.00 EUR (tax exempt)


Gina Walejko, PhD (Google)

Video lecture:

Prof. Frauke Kreuter (Ludwig-Maximilians-Universität, Munich & Univeristy of Maryland)


Course Dates:

To see all courses in the upcoming term click here.


This course is part of the Mannheim Data Science Certificate: Surveys.

Book this course or the entire certificate here!

In order to book the course with alumni conditions, please get in touch with Manon Pfeifer directly.

Course Description

Short Course Description
This course introduces students to the stages of questionnaire development. The course reviews the scientific literature on questionnaire construction, the experimental literature on question effects, and the psychological literature on information processing. It will also discuss the diverse challenges posed by self- versus proxy reporting, and special attention is paid to the relationship between mode of administration and questionnaire design. Students will also get a hands-on experience in developing their own questionnaire.

No prerequisites.

Course Objectives
By the end of the course, students will…

  • be able to develop their own questionnaire based on a research question.
  • be able to apply the knowledge about the cognitive response process to write good survey questions.
  • be able to select and apply tools to pretest their questionnaire.
  • know different techniques to ask respondents about sensitive topics.
  • be able to develop questions that ask about facts (i.e. behaviors and events) and non-fact (i.e. attitudes and opinions).
  • be able to put individual survey questions in an appropriate sequence considering the idiosyncrasies of different modes of data collection.

Course Composition
This is a 4 ECTS course, which runs for 8 weeks. The content of the course is broken down into 8 units:

  1. Introduction; Course Perspectives
  2. Simple Random Sampling, Sampling Frames, and Introduction to Clustering
  3. Stratified Sampling I
  4. Stratified Sampling II, Systematic selection
  5. Cluster Sampling
  6. Unequal-Sized Clusters I
  7. Unequal-Sized Clusters II
  8. Variance Estimation

Learning and Teaching Methods
In this course, you are responsible for watching video recorded lectures and reading the required literature for each unit and then “attending” mandatory weekly one-hour online meetings where students have the chance to discuss the materials from a unit with the instructor. In addition, students are encouraged to post questions about the materials covered in the videos and readings of the week in the forum before the meetings. Just like in an on-site course, homework will be assigned and graded and there will be a final exam at the end of the course.

Grading will be based on:

  • Homework assignments (worth 50% total)
  • Quizzes (worth 15% total)
  • Participation in discussion during the weekly online meetings, submission of questions via e-mail demonstrating understanding of the required readings and video lectures, and positive contributions on Piazza, see below (worth 10%)
  • A final open-book online exam (worth 25%)

ZFU Certification and Online Dispute Resolution

ZFU Certification

The Mannheim Master of Applied Data Science & Measurement program is certified according to the regulations of the ZFU (Staatliche Zentralstelle für Fernunterricht).


Online Dispute Resolution

Online dispute resolution according to Art. 14 Sect. 1 ODR-VO: The European Commission provides a platform for online dispute resolution (ODR). You can find more information under


Located in the heart of the German and European economy, Mannheim Business School (MBS), the umbrella organization for management education at the University of Mannheim, is considered to be one of the leading institutions of its kind in Germany and is continuously ranked as Germany’s #1.