Category Archives: IRWS Courses 2011

Courses during the International Research Workshop 2011

Data Analysis with Stata (Beginners)

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Tobias Gramlich (University of Duisburg-Essen)

Date:

03.10.2011, 09:00 – 12:30
04.10.2011, 09:00 – 12:30
06.10.2011, 09:00 – 12:30
07.10.2011, 09:00 – 12:30

Room: n.s.

Max. number of participants: 20

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

Contents:

Stata is a statistical program package widely used (not only) in the social and economical sciences; it is used for data management, statistical graphics and analysis of quantitative data. Statistical concepts will not be part of the course, so participants should have some very basic knowledge of statistics. The course should enable participants to prepare their data for analysis, perform adequate analysis using a statistical computer program and to document these tasks to keep them reproducible.

For Beginners with No or Very Little Knowledge of the Program!

Course Topics cover:

  • “What You Type is What You Get”: Basic stata Command syntax
  • Getting (and Understanding) Help within stata: stata Bulit-in Help System
  • Basic Data Management: Load and Save stata Datasets, Generate and Manipulate Variables, Describe and Label Data and Variables, Perform Basic uni- and bivariate Analyses, Change the Structure of your Data
  • Basic stata Graphics: Scatterplot, Histogram, Bar Chart
  • Working with “Do-” and “Log-” Files

You have to register for the 5th International Research Workshop to participate in this course.

(Multi-Value) Qualitative Comparative Analysis

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Lasse Cronqvist (University of Trier)

Date:

03.10.2011, 14:00 – 17:30
04.10.2011, 14:00 – 17:30
06.10.2011, 14:00 – 17:30

Room: n.s.

Max. number of participants: 24

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: German

Contents:

Configurational Comparative Methods (CCM) are increasingly in social science research. The workshop will introduce to these methods mainly on focusing on Qualitative Comparative Analysis (QCA). We will first introduce the conceptional basics of QCA and then looking at different refinements. Various applications of CCM will be studied and the software used for QCA will be introduced. Finally, current developments in CCM research are briefly presented.

The software introduced in this course is only available for Windows OS:
Tool for Small-N Analysis – Tosmana – http://www.tosmana.net/

You have to register for the 5th International Research Workshop to participate in this course.

Introduction to the SOEP

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Elke Holst (SOEP at DIW) and Anne Busch (Berlin Graduate School of Social Sciences (BGSS) & SOEP at DIW)

Date:

03.10.2011, 14:00 – 17:30
04.10.2011, 14:00 – 17:30

Room: n.s.

Max. number of participants: 25

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The Socio-Economic Panel Study (SOEP) is a longitudinal study of private households in Germany. The panel provides information on all household members and was started in 1984. In 2009, there were almost 12,000 households, and more than 20,000 persons sampled. Some of the many topics include household composition, occupational biographies, employment, earnings, health, well being, integration, values, lifestyles, and personality. The course gives an overview of the data structure and the research designs facilitated by longitudinal household studies that go beyond conventional surveys (household analysis, intergenerational analysis, life course research, etc.). In hands-on sessions using Stata, the course provides an applied introduction into the data retrieval, the construction of longitudinal data files, and illustrates some exemplary analyses.

You have to register for the 5th International Research Workshop to participate in this course.

Teaching Skills: The Adequate Implementation of Activating Methods in Seminar Sessions

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Verena Brenner (Self-Employed Trainer) & Tatjana Reiber (HSU Hamburg)

Date: 05.10.2011, 09:00 – 17:30

Room: n.s.

Max. number of participants: 20

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: German

Contents:

Although independence and personal initiative are considered key competencies in academia, teaching at university level does often amount to the transfer of knowledge from an expert (the lecturer) to a passively absorbing audience (the students). Participants of this course will get to know various activating methods and teaching strategies, which encourage students to study autonomously and self-determined. A strong focus will be set on the appropriate use of these methods: for which objectives, in which course context and for which target group can a method be applied? Furthermore, participants will have time and opportunity to practice the instruction of several methods.

You have to register for the 5th International Research Workshop to participate in this course.

Analysing Panel Data

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Toben Dall Schmidt, Nisar Ahmad (SDU Sonderburg/Denmark) – tbc

Date: 06.10.2011, 14:00 – 17:30

Room: n.s.

Max. number of participants: 25

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Panel data has become popular due to their very specific structure and associated advantages. This module will introduce these basic structures and offer some first insights into the different standard estimation methods available to use panel data for analysis – the most two most common being the fixed effects models and the random effects models. In terms of advantages, the module will offer a discussion of the properties of panel data in allowing for unobservable heterogeneity, but it will also point to some of the caveats of using panel data, e.g. attrition problem in survey data. A final issue in the module will be testing procedures to allow for a selection between different estimation methods for panel data. The module will therefore offer a basic introduction into the essence of panel data analysis.

You have to register for the 5th International Research Workshop to participate in this course.