Category Archives: IRWS Courses 2013

Courses during the International Research Workshop 2013

Introduction to the SOEP

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Elke Holst & Lea Kröger (SOEP at DIW)

Date:

01.10.2013, 09:00 – 12:30
02.10.2013, 09:00 – 12:30

Room: n.s.

Max. number of participants: 25

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 2011, there were more than 12,000 households with more than 21,000 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.

SOEP@DIW Berlin website:

http://www.diw.de/soep (deutsch) or http://www.diw.de/en/soep (english)

Reading the SOEP Desktop Campanion is a prerequisite for participation.

You have to register for the 7th International Research Workshop to participate in this course.

Introduction to MAXQDA for Case Studies

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Heiko Grunenberg (Leuphana University Lüneburg)

Date:

02.10.2013, 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

Contents:

This workshop is directly affiliated to the course “Case Study Research”. We want to see, how the ideas and approaches of “Case Study Research” could be transacted with a software of qualitative research like MAXqda.

It is not necessary to have deep knowledge about MAXqda, but please have a look at http://www.maxqda.com to understand the basic steps of computer assisted qualitative research.

References

Lewins, Ann/ Silver, Christina (2007): Using Software in Qualitative Research: A Step-By-Step Guide. SAGE: London.

Gerring, John (2006): Case Study Research: Principles and Practices. Cambridge University Press: Cambridge.

You have to register for the 7th International Research Workshop to participate in this course.

Qualitative Inquiry and Content Analysis with MAXQDA

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Heiko Grunenberg (Leuphana University Lüneburg)

Date:

02.10.2013, 09:00 – 12:30
04.10.2013, 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: German (the course Introduction to MAXQDA for Case Studies will be held in English and covers most topics of this course)

Contents:

MAXqda is a software to analyze textual data in a qualitative (but also quantitative) way. The course provides a basic introduction into the logic of the program and its broad possibilities. The goal is to enable you to use this tool accordingly to your own method of analysis. For this reason, everybody can practice our working-steps at an own computer. We will start at the very beginning and learn about the basic features of the program such as preparation and import of texts, basic analysis strategies and creation of codes, memos and variables. After this, we will focus on analysis strategies, simple and complex text retrievals and other procedures. At the end, we will take some excursions into teamwork funcions and quantitative content analysis of counting and numbers.

References

Corbin, Juliet/ Strauss, Anselm L. (2008): Basics of qualitative research: techniques and procedures for developing grounded theory. 3rd Edition. Los Angeles, Calif.: Sage Publ.

Kuckartz, Udo (2010): Einführung in die computergestützte Analyse qualitativer Daten. VS-Verlag: Wiesbaden.

Lewins, Ann/ Silver, Christina (2007): Using Software in Qualitative Research: A Step-By-Step Guide. SAGE: London.

You have to register for the 7th International Research Workshop to participate in this course.

Qualitative Methods: From Research Question to Study Design

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Dr. Anna Brake (Augsburg University)

Date:

30.09.2013, 09:00 – 12:30
01.10.2013, 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

Contents:

Methodological rigor is of vital importance for the success of an qualitative research project. Research question, methodological approach of data collection and strategies of (verbal) data analysis have to be well matched in order to ensure a compelling overall research process. The workshop aims at providing the opportunity to discuss these issues critically in the light of the participant’s own dissertation projects. It addresses Ph.D. students who seek further clarification for their methodological rationale in their qualitative study regarding sampling procedure, interview techniques, approaches for data analysis and others. Thus, we will not debate on general issues of methodological importance, but focus on the methodologically demanding topics the participants are facing within their own qualitative study.

Participants are kindly asked to submit a research abstract no later than two weeks before the beginning of the workshop to Anna Brake.

You have to register for the 7th 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:

30.09.2013, 09:00 – 12:30
01.10.2013, 09:00 – 12:30
02.10.2013, 09:00 – 12:30
03.10.2013, 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 7th International Research Workshop to participate in this course.

Data Analysis with Stata

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Tobias Gramlich (University of Duisburg-Essen)

Date:

30.09.2013, 09:00 – 12:30
01.10.2013, 09:00 – 12:30
02.10.2013, 09:00 – 12:30
04.10.2013, 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 7th International Research Workshop to participate in this course.