Category Archives: IRWS Courses 2012

Courses during the International Research Workshop 2012

Qualitative (Expert) Interviews

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: N.N.

Date:

01.10.2012, 09:00 – 12:30
02.10.2012, 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:

tba.

You have to register for the 6th International Research Workshop to participate in this course.

Data Analysis with R

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Marco Lehmann (University of Hamburg)

Date:

01.10.2012, 09:00 – 12:30
02.10.2012, 09:00 – 12:30
04.10.2012, 09:00 – 12:30
05.10.2012, 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:

The course introduces the programming language R used for statistical analyses. The beginning of each lecture comes with a demonstration of programming and statistical functions that will be elaborated in the course of study. The students will then practice with many statistical examples. In addition to statistical functions the course will introduce the definition of R as a programming language and its syntax rules. Students will further learn to use R’s scripting capabilities.

Literatur
Wollschläger, Daniel (2012). Grundlagen der Datenauswertung mit R (2. Aufl.). Berlin: Springer.

You have to register for the 6th International Research Workshop to participate in this course.

Data Analysis with Stata (Beginners)

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Tobias Gramlich (University of Duisburg-Essen)

Date:

01.10.2012, 09:00 – 12:30
02.10.2012, 09:00 – 12:30
04.10.2012, 09:00 – 12:30
05.10.2012, 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 6th International Research Workshop to participate in this course.

Case Study Research

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Miriam Wilhelm (Universitet Groningen)

Date:

01.10.2012, 14:00 – 17:30
02.10.2012, 14:00 – 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: English/German (depending on participants)

Contents:

In this course participants will learn to design, conduct and publish case studies.

After participating in this course students will gain enhanced knowledge on the process of conducting a case study. Students must not possess prior knowledge with actual case study research but they should work on a research question that is in principle suitable for a case study design.

Day 1: Learning about case studies

  • Case study design
  • Case study process
  • Quality criteria for case study research

Day 2: Doing case studies

  • Paper discussion
  • Publishing with case studies

Literature
Eisenhardt, K.N. (1989): Building theories from case study research. Academy of Management Review, 14(4): 532-550.

You have to register for the 6th International Research Workshop to participate in this course.