GESIS Training News

We are happy to announce the program of the 8th GESIS Summer School in Survey Methodology. The Summer School 2019 will be held from 01 to 23 August at GESIS Cologne, Germany. 16 courses are scheduled, among them 4 short courses and 12 one-week courses. New to the program are courses on “Questionnaires for Cross Cultural Surveys” and “Pretesting”. The courses “Mathematical Tools for Social Scientists” and “Factorial Survey Design” return to the Summer School program after a break. Don’t miss the opportunity to master advanced techniques of statistical data analyses with renowned international experts.

Here is an overview of this year's courses:

Week 0 (01 - 02 August):

Using Mplus for Latent-Variable Modeling: An Introduction

Dr. Matthias Bluemke, Dr. Ai Miyamoto, Dr. Clemens Lechner (GESIS, Germany)

Research Designs and Causal Inference

Prof. Dr. Stefanie Eifler, Dr. Heinz Leitgöb (Catholic University of Eichstätt-Ingolstadt, Germany)

Introduction to Data Analysis Using Stata

Dr. Kathrin Busch, Julia Klinger (GESIS, Germany)

Open Access to Research Data. Facing Funders’ Requirements on Making Research Data FAIR

Dr. Sebastian Netscher, Dr. Anja Perry (GESIS, Germany)

Week 1 (05 - 09 August):

Introduction to Survey Design

Asst. Prof. Dr. Bella Struminskaya (University of Utrecht, The Netherlands), Ulrich Krieger (University of Mannheim, Germany)

Introduction to Structural Equation Modeling: Confirmatory Factor Analysis with Mplus

Prof. Dr. Jost Reinecke, Georg Kessler (University of Bielefeld, Germany)

Questionnaire Design

Prof. Dr. Marek Fuchs, Anke Metzler (Darmstadt University of Technology, Germany)

Mathematical Tools for Social Scientists: A Refresher Course with R

Prof. Dr. Michael Greenacre (University Pompeu Fabra, Barcelona, Spain), Dr. Oleg Nenadic (University of Göttingen, Germany)

Week 2 (12 - 16 August):

Introductory Course to R with Applications from Data Analysis

Dr. Jan-Philipp Kolb, Alexander Murray-Watters (GESIS, Germany)

Mixed-Mode and Mixed-Device Surveys

Prof. Dr. Edith de Leeuw, Asst. Prof. Dr. Vera Toepoel (University of Utrecht, The Netherlands), Dr. Thomas Klausch (VU University Medical Center Amsterdam, The Netherlands)

Statistical Analysis of Incomplete Data

Dr. Florian Meinfelder, Angelina Hammon (University of Bamberg, Germany)

Design and Implementation of Longitudinal Surveys

Dr. Tarek Al Baghal (University of Essex, United Kingdom), Dr. Alexandru Cernat (University of Manchester, United Kingdom)

Week 3 (19 - 23 August):

Questionnaires for Cross Cultural Surveys

Prof. Dr. Michael Braun (University of Mannheim & GESIS, Germany), Brita Dorer, Dr. Katja Hanke (GESIS, Germany)

Sampling, Weighting, and Estimation

Stephanie Eckman, PhD (RTI International, USA)

Pretesting

Asst. Prof. Dr. Katharina Meitinger (University of Utrecht, The Netherlands), Emily Geisen (RTI International, USA)

Factorial Survey Design

Prof. Dr. Katrin Auspurg (Ludwig Maximilian University Munich, Germany), Dr. Carsten Sauer (Radboud University Nijmegen, The Netherlands)

Scholarships, ECTS Credits & More

15 Scholarships are available to Summer School participants. 10 of them are awarded by the German Academic Exchange Service (DAAD)/ Institute of Sociology and Social Psychology (ISS) of the University of Cologne. 5 grants are disbursed by the European Survey Research Association (ESRA).

Thanks to our cooperation with the Center for Doctoral Studies in Social and Behavioral Sciences, University of Mannheim, participants may earn 4 ECTS points per one-week course. In addition to courses, we have set evening talks by experts in Survey Methodology and prepared a number of plenary and social events such as weekly welcome receptions, cultural and social excursions. There is no registration deadline, but to secure a place in the course(s) of your choice and to book affordable accommodation, we strongly recommend that you register as soon as possible.

Register now! You will find more information here!

If you want to know how the Summer School feels like, watch our video.

The GESIS Methodenseminar is aimed at graduate students in the social sciences and humanities as well as related fields. Participants can choose from six courses, three in German, three in English. All courses are research-based and teach practically relevant skills. The Basismodul, Aufbaumodul I, and Aufbaumodul II are held in German and teach essential knowledge and skills on how to analyze quantitative, scientific data. The Big Data Modules I, II and III are held in English and convey knowledge and skills from data science. All participants will learn how to handle and analyze large amounts of data from the internet. Further topics are data mining, the relational dimension of digital behavioral data and network analyses.

The following courses are on offer in 2019:

Week 1 (08 - 12 July):

Basismodul – Uni- und bivariate Statistik (in German)

Katja Salomo, Björn Seipelt (Friedrich-Schiller University Jena)

Big Data Module I – Introduction to Data Science with Python (in English)

Dr. Arnim Bleier, Dr. Fabian Flöck, Dr. Juhi Kulshrestha (GESIS Cologne)

Week 2 (15 - 19 July):

Aufbaumodul I – Faktorenanalyse und Clusteranalyse mit Stata (in German)

Katja Salomo (Friedrich-Schiller University Jena), Janka Goldan (University of Wuppertal)

Big Data Module II – Introduction to Social Network Science with Python (in English)

Dr. Fariba Karimi, Dr. Haiko Lietz, Dr. Marcos Oliveira (GESIS Cologne)

Week 3 (22 - 26 July):

Aufbaumodul II – Multiple Regression mit Stata (in German)

Prof. Dr. Michael Gebel, Jonas Voßemer (University of Bamberg)

Big Data Module III – Text Mining with R (in English)

Dr. Andreas Niekler (University of Leipzig), Dr. Gregor Wiedemann (University of Hamburg)

Thanks to our cooperation with the a.r.t.e.s. Graduate School for the Humanities at the University of Cologne participants of the Methodenseminar may earn 2 European Credit Transfer System (ECTS) points per course for active participation.

Book now! For more information on the Methodenseminar visit www.gesis.org/methodenseminar

In 2019, our workshop program will be extended by courses on digital behavioral data and open science (e.g. “Introduction to Data Science with Python”, “Statistical Learning” or “Reproducible Research with R”). The workshops are conceptualized for researchers working in the field of empirical social research.

Moreover, a three-day workshop on "Behavioral genetics in the social sciences" is going to take place in November 2019 in Cologne. The purpose of this workshop is to familiarize social scientists with genetic data and provide instruction on how to incorporate genetic information into social science analyses. The lecturers Volker Lang and Dr. Bastian Mönkediek are researchers in the TwinLife project. Hence, they will start the course with an introduction to the TwinLife Data. Subsequently, the applied parts of the course will focus on twin studies and related quantitative methods of behavioral genetic analysis on an introductory level. The workshop offers hands-on training for researchers working at the intersection of genetics and social science research.