6 August 2021
Survey Sampling and Weightingonline course
This practical course will cover the process of probability sampling, weighting and estimation. This includes a) methods of sample selection, b) methods of weighting including design weighting, nonresponse weighting and poststratification techniques, and c) methods of parameter estimation for complex sample survey data. Please note that the course will only provide a short excursus to non-probability sampling. The emphasis of the course is more applied than theoretical, but students are expected to be comfortable with statistics and to have some experience with data analysis. For each topic, students will do exercises in Stata that apply the techniques learned in the lectures. Prior knowledge in how to use Stata is needed.
Dr. Simon Kühne is a postdoc at Bielefeld University. He is an expert in survey sampling and weighting. Prior to his position at Bielefeld University he worked at the Socio-Economic Panel Study (SOEP, DIW Berlin).
Participants will find the course useful if:
- they have experience conducting surveys and/or analyzing survey data but have no experience with survey sampling and weighting;
- they plan their own survey data collection and need to sample and/or weight the data.
- Introductory course in statistics. No prior knowledge of sampling theory is assumed.
- Prior knowledge in Stata is required for this course.
- Basic understanding in survey methodology and how to handle survey data.
By the end of the course participants will know:
- about the most commonly used sample designs including, clustered sampling, stratified sampling, and multi-stage sampling;
- how to create design weights, nonresponse weights and apply poststratification techniques;
- how the sample design can affect data analysis and how to incorporate complex survey designs and survey weights into parameter estimation.
- Certificate of attendance issued upon completion.
- 4 ECTS points via the University of Mannheim for regular attendance and satisfactory work on daily assignments and for submitting a paper/report of about 5000 words to the lecturer(s) up to 4 weeks after the end of the summer school (EUR 50).
EUR 400: Student/PhD student rate.
EUR 600: Academic/non-profit rate.
The rates include the tuition fee and the course materials.
Scholarships covering the participation fee are available from the German Academic Exchange Service (DAAD).