GESIS Training Courses

Scientific Coordination

Sebastian E. Wenz
Tel: +49 221 47694-159

Administrative Coordination

Angelika Ruf
Tel: +49 221 47694-162

Course 4: Survey Sampling and Weighting

Dr. Simon Kühne, Zaza Zindel

Date: 02.08 - 06.08.2021 ics-file

Location: Online via Zoom

About the lecturer - Dr. Simon Kühne

About the lecturer - Zaza Zindel

Course description

[This is a 30 hour class.]
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.


Target group

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.

  • Learning objectives

    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 poststratification techniques.
  • know how the sample design can affect data analysis and how to incorporate complex survey designs and survey weights into parameter estimation.
    Organizational Structure of the Course:
    A typical course day will consist of two thematic clusters. Each cluster starts with a lecture of around 1 hour. After that lecture, participants split into small groups and work on practical exercises using Stata. Simon will provide and discuss a solution for each exercise in-depth afterwards. Each day ends with a recapitulation of the two thematic clusters. The last half of the last course day will consist of 1-to-1 sessions in which Simon provides guidance for current sampling and weighting projects of the participants.


  • 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.
    Software and Hardware Requirements:
    Participants who do not own a copy of Stata will be provided with access to a full Stata licence by GESIS for the duration of the course. GESIS staff might need to install and activate Stata prior to the course through remote access on the participants' machines.
    Participants who own a copy of Stata should install the following Stata ados prior to the course: gsample, unique, distinct, survwgt, fre, coefplot, moremata, estout

    Recommended readings