300251 Survey Sampling & Weighting (MA: Soziologische Methoden - quantitativ) (S) (WiSe 2026/2027)

This seminar 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 seminar 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.

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.
- know how to create design weights, nonresponse weights and apply adjustment weighting techniques.
- know how the sample design can affect data analysis and how to incorporate complex survey designs and survey weights into parameter estimation.

Literaturangaben

Eckman, S. and West, B. (2016) Analysis of Data from Stratified and Clustered Surveys in Handbook of Survey Methodology, Wolf, C, Joye, D, Smith, T, and Fu, Y (Eds). Sage.

Lohr, S. L., 2009: Sampling: Design and Analysis. 2nd edition. Cengage.

Valliant, R. and Dever, J. (2018) Survey Weights: A Step-by-Steph Guide to Calculation. Stata Press.

Valliant, R., Dever, J. A., & Kreuter, F. (2013) Practical Tools for Designing and Weighting Survey Samples. Statistics for Social and Behavioral Sciences: Springer.