Survey sampling training course announced

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2017-01-20T11:54:41+00:00 23 January 2017|

A second SERISS training course on survey sampling, weighting and estimation will take place at the University of Ljubljana on 24-25 April 2017.

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 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.

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.

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.

By the end of the course participants will:

  • have a sound understanding of the most frequently used sample designs (one- and two-stage sampling, clustered sampling; stratified sampling, and related designs);
  • know how to create probability weights, and have experience with several methods for adjusting such weights to improve the quality of estimates;
  • understand how and why the design of a sample survey affects the analysis of the data;
  • know the appropriate methods to use in R to analyze complex survey data

How to apply:

Please send your CV and your application 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.

Applications should be sent

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