Course 6: Survey Sampling and Weighting
Dr. Simon Kühne, Jannes Jacobsen
Date: 17.08 - 21.08.2020
Location: Online via Zoom
[This is a 30 hour class.]
This practical course will cover the process of survey 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. 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 recommended.
A detailed syllabus for this course is available for download here.
Participants will find the course useful if:
By the end of the course participants will:
Organizational Structure of the Course:
This is a five-day course with a total amount of 30 hours of virtual class time. Participants can expect a mix of interactive teaching, exercises, and opportunity for individual consultation. Exercises (most of them in Stata, some examples in R) are designed to deepen their understanding of the course material.
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. Stata will be installed and activated prior to the course by GESIS staff 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.
Participants who also wish to use R should have a recent version of R (https://cran.r-project.org/) and Rstudio installed (https://www.rstudio.com/). Both programs are free and open source.