Lecturers & Programme 2010

Workshop programme 2010:

Workshop Folder(pdf, 545 KB)
Workshop Poster(pdf, 786 KB)

Lecturers 2010:

Prof. Nisar Ahmad, University of Southern Denmark
Course: Analysing Panel Data

Verena Brenner, Self-Employed Trainer
Course: Teaching Skills – How to Implement Activating Methods Appropriately

Dr. Lasse Cronqvist, University of Trier
Course: (Multi-Value) Qualitative Comparative Analysis

Roel de Jong, University of Hamburg
Course: Multilevel Modeling

Prof. Dr. Peter Eberl, University of Kassel
Course: Case Study Research

Tobias Gramlich, University of Duisburg-Essen
Course: Data Analysis with Stata – Beginners

Heiko Grunenberg, Deutsches Jugend Institut München
Courses:
Qualitative -Expert- Interviews
Qualitative Inquiry and Content Analysis with MAXQDA
Introduction to MaxQDA for Case Studies

PD Dr. Elke Holst, German Socio-Economic Panel Study (DIW SOEP) at DIW Berlin & University of Flensburg
Course: Introduction to the SOEP

Jun.-Prof. Anja Iseke, University of Paderborn
Course: Network Analysis

Prof. Dr. Udo Kelle, Helmut-Schmidt University
Dinner Lecture

Prof. Wenzel Matiaske, Helmut-Schmidt-University & DIW Berlin
Head of Organisation

Prof. Volker Müller-Benedict, University of Flensburg
Course: Structural Equation Modeling with Amos

Prof. Dr. Juergen H. P. Hoffmeyer-Zlotnik, GESIS Leibniz Institute for Social Sciences
Prof. Dr. Dagmar Krebs, University of Gießen
Dr. Natalja Menold, GESIS Leibniz Institute for Social Sciences
Course: Questionnaire Design

Dr. Tatjana Reiber, Helmut-Schmidt-University
Course: Teaching Skills – How to Implement Activating Methods Appropriately

Andrea Schäfer, University of Bremen/Zentrum für Sozialpolitik (ZeS)
Courses:
Introduction to the SOEP
Data Analysis with Stata – Intermediates

Prof. Torben Dall Schmidt, University of Southern Denmark
Course: Analysing Panel Data

Katja Spanier, University of Flensburg
Course: Structural Equation Modeling with Amos

Dr. Detlef Steuer, Helmut-Schmidt-University
Course: Data Analysis with R – Reproducible Research