Cologne, Germany

(Non-)Probability Samples in the Social Sciences

online course
when 9 August 2021 - 13 August 2021
language English
duration 1 week
credits 4 EC
fee EUR 400

The main objective of the course is to provide students with a full overview of the history, theoretical foundations, critical arguments, and accumulated empirical evidence surrounding the debate about probability and nonprobability sample surveys. A focus will be on real-world examples of why and how the choice of sample type matters, including topics such as gender data gap, election polling debacles, and the role that surveys can have in supporting versus debunking fake news. In addition to discussing these topics, the course will provide students with an in-depth understanding of the conditions under which probability and nonprobability samples can provide useful data to answer social scientific research questions (so-called "fit-for-purpose" designs), including hands-on recommendations and excercises on how to design your own (hypothetical) research study.

Course leader

Dr. Carina Cornesse is a post-doctoral researcher in survey methodology at the University of Mannheim and co-director of the project “Recruiting Probability-Based Online Panels: Cost-Efficiency and Data Quality” at MZES.

Target group

Participants will find the course useful if:
- they would like to get a full picture of the debate about probability and nonprobability sample surveys
- they plan to design their own research study and need to choose a sample type

Prerequisites
- Basic knowledge of introductory statistics (e.g., descriptive statistics, basic regression analysis)
- Basic conceptual understanding of survey data collection (e.g., survey lifecycle, Total Survey Error framework)
- Basic understanding of sampling theory and/or survey weighting procedures is desirable, but not strictly necessary.

Course aim

By the end of the course participants will:
- have a full overview of the history, theoretical foundations, critical arguments, and accumulated empirical evidence surrounding the debate about probability and nonprobability sample surveys
- possess the necessary skills to evaluate whether any given sample is fit for the purpose of answering a particular research question
- be able to choose an appropriate sample type when designing their own social scientific research studies

Credits info

4 EC
- Certificate of attendance issued upon completion.
Optional bookings:
- 4 ECTS credit points via the University of Mannheim for regular attendance and satisfactory work on daily assignments and for submitting a paper of about 5000 words to the lecturer(s) up to 4 weeks after the end of the summer school (50 EUR administration fee).

Fee info

EUR 400: Student/PhD student rate.
EUR 600: Academic/non-profit rate.
The rates include the tuition fee and the course materials.

Scholarships

Scholarships covering the participation fee are available from the German Academic Exchange Service (DAAD).