Sebastian E. Wenz
Tel: +49 (0)221-47694-166
Tel: +49 (0)221-47694-166
Tel: +49 221 47694-162
Tel: +49 221 47694-162
Bitte haben Sie einen Moment Geduld........
Datum: 03.08 - 25.08.2017 ics-Datei
6th Summer School in Survey Methodology
- Week 0
- Short Course A: Preparing Data for Re-Use. A Practical Guide to Processing and Documenting your Data for Sharing
03.08.2017 - 04.08.2017 - Dr. Sebastian Netscher, Dr. Anja Perry
- Short Course B: Introduction to Data Analysis Using Mplus
03.08.2017 - 04.08.2017 - Dr. Matthias Blümke, Dr. Daniel Danner, Dr. Clemens Lechner
- Short Course C: Research Designs and Causal Inference
03.08.2017 - 04.08.2017 - Prof. Dr. Stefanie Eifler, Dr. Heinz Leitgöb
- Week 1
- Course 1: Introduction to Survey Design
07.08.2017 - 11.08.2017 - Ulrich Krieger, Prof. Dr. Bella Struminskaya
- Course 2: Introduction to Structural Equation Modeling: Confirmatory Factor Analysis with Mplus
07.08.2017 - 11.08.2017 - Prof. Dr. Jost Reinecke, Georg Kessler
- Course 3: Introduction to Data Analysis Using R
07.08.2017 - 11.08.2017 - Dr. Hans Walter Steinhauer, Ariane Würbach
- Course 4: Designing, Implementing, and Analyzing Longitudinal Surveys
07.08.2017 - 11.08.2017 - Dr. Tarek Al Baghal, Dr. Alexandru Cernat
- Week 2
- Course 5: Questionnaire Design
14.08.2017 - 18.08.2017 - Prof. Dr. Marek Fuchs, Dr. Tanja Kunz, Anke Metzler
- Course 6: Structural Equation Modeling for Longitudinal and Panel Data
14.08.2017 - 18.08.2017 - Dr. Daniel Seddig, Georg Kessler
- Course 7: Assessing Measurement Quality
14.08.2017 - 18.08.2017 - Dr. Natalja Menold, Dr. Katharina Meitinger, Dr. Christina Ramsenthaler
- Short Course D: Introduction to Data Analysis Using Stata
17.08.2017 - 18.08.2017 - Dr. Reinhard Schunck, Dr. Klaus Pforr
- Week 3
- Course 8: Mathematical Tools for Social Scientists
21.08.2017 - 25.08.2017 - Prof. Dr. Martin Elff
- Course 9: Meta-Analysis
21.08.2017 - 25.08.2017 - Dr. Bernd Weiß, Jessica Wengrzik
- Course 10: Sampling, Weighting, and Estimation
21.08.2017 - 25.08.2017 - Stephanie Eckman, PhD
- Course 11: Item Nonresponse and Multiple Imputation
21.08.2017 - 25.08.2017 - Dr. Florian Meinfelder, Prof. Dr. Susanne Rässler
The GESIS Summer School
Every August since 2012, the GESIS Summer School in Survey Methodology takes place at GESIS, Cologne. Lecturers and participants from all over the world and from many different fields come to Cologne to take part in Europe's leading summer school in survey methodology, research design, and data collection---recommended by the European Survey Research Association (ESRA).
The 6th GESIS Summer School in Survey Methodology will take place from August 3-25 2017 in Cologne. Please scroll down to learn more about the many reasons for why you should attend, prerequisites, course structure, plenary and social program, fees and registration, as well as ECTS credits and scholarships.
GSS Flyer 2017 (download here)
Why attend the GESIS Summer School?
At the GESIS Summer School in Survey Methodology you will
- receive high quality training in state of the art techniques and methods of survey research;
- find courses that equip you with essential skills in how to design, plan, conduct, and document all kinds of surveys;
- find courses that teach you how to analyze survey data;
- find both courses that give a broad overview of survey methods and courses that intensively discuss special interest topics in survey research;
- meet new people from different fields and from all over the world to network and discuss your research with;
- enjoy a varied plenary and social program;
- last but not least: Have an exciting time in Cologne, the "most underrated city in Germany" (New York Times).
Who should attend the GESIS Summer School?
The GESIS Summer School is made for you if you are an advanced graduate or PhD student, a post-doc, junior researcher, or survey professional from any relevant field, who:
- is interested in improving their general knowledge and skills in survey methodology;
- is planning to run an own survey or is working for a large-scale survey project;
- wants to update their methodological expertise in specific areas of survey methodology;
- wishes to engage in methodological research with survey data;
- wants to better understand processes of data collection;
- wants to learn how to assess data quality;
- wants to learn how to properly analyze survey data.
Summer School Prerequisites
In addition to the prerequisites mentioned in the syllabi of the courses, you are expected to
- have basic knowledge of empirical research methods;
- have a good command of English, as the Summer School will entirely be held in English.
Short courses are two-day courses aimed at updating participants skills to better fulfill the entrance requirements of some one-week courses or at providing instruction in a specialized area. Short courses consist of about 6 hours of instruction per day.
One-week courses consist of 6 hours of classes a day of which around 2 hours are tutorials or labs or exercises (details for each course are provided in the course descriptions). Given the daily workload, participants can register only for one course per week.
Plenary and Social Program
Besides courses, participants are welcome to attend evening talks by experts in survey methodology and, thanks to our sponsors, take part in an exciting social and cultural program.
Participation fees and registration
Short courses (rates: student/academic/commercial): EUR 100/140/280
One-week courses (standard rates: student/academic/commercial): EUR 250/350/700
Please see Terms and conditions of participation for our cancellation and reimbursement policy.
Participants completing one-week courses have the opportunity to receive European Credit Transfer System (ECTS) points.You will be charged an administration fee of EUR 20,00 (2 ECTS) or 50,00 (4 ECTS) per course, respectively. More information on ECTS can be found here.
Scholarships by CDSS/DAAD and ESRA are available to Summer School participants. Please click here for more information on eligibility and how to apply.