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From 24 April 2017 to 25 April 2017

sampling, weighting and estimation in survey methodology

A second SERISS training course on survey sampling, weighting and estimation will take place at the University of Ljubljana in Slovenia on 24-25 April 2017. The course will cover three interrelated topics: methods of selecting complex samples, creation of analysis weights that adjust for nonresponse and undercoverage, and the analysis of data collected via complex weighted surveys.

Course decription

The training session – Sampling, Weighting and Estimation in Survey Methodology – will be instructed by Stefan Zins and Matthias Sand of GESIS – Leibniz Institute for the Social Science, Mannheim.

The first day will start with an introduction the framework for design based inference and some basic sampling designs will be introduced. Common features of sampling designs such as stratification, sampling of clusters and multi-stage sampling will be discussed. For each method, students will learn the relevant formulas for point estimates and variance estimates; however, the course will emphasize application over theoretical proofs of the formulas.

The second day will focus on estimation based on survey samples and inference. Furthermore, students will learn how complex designs and estimators alter the ways in which survey data should be analyzed. Traditional methods of analysis, usually taught in introductory statistics courses, are inapplicable to such data sets. There are several different methods that can be used to analyze complex weighted survey data.


The course is aimed at Doctoral Candidates at all stages, and Postdoctorates from Humanities and Social Sciences.

No prior knowledge of sampling theory is needed, but students should be comfortable with statistical concepts such as hypothesis testing, variance, standard errors and confidence intervals.

A basic understanding of survey methodology and a beginner’s level understanding of statistical software, R, is also required.

Registration and grants

As with the first SERISS training course, up to 25 participants are invited to attend.

There are no tuition fees. Lunch on each day and a group dinner on the first evening will be provided.

Participants generally need to cover their travel costs but there are a limited number of SERISS grants available for attendees whose financial position would prevent them from being able to attend.

How to apply

Please send your CV and your application via email with the following information :

  • First Name
  • Surname
  • Academic Title
  • Country
  • Email
  • Affiliation
  • Position
  • Educational Qualifications
  • Research Experience
  • Explain why you are interested in participating in this course and what the expected benefits are for your research (max 1 page)

Please mention in your application if you would like to be considered for a SERISS travel grant as well as approximate required travel budget.

Deadline for applications is Monday 13 February 2017. The results of the selection will be known by the end of February 2017.

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