Tag Archives: CP

Network Analysis

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Anja Iseke (University of Paderborn)

Date: 03.10.2012, 09:30 – 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/German (depending on participants)

Contents:

This course will familiarize students with basic concepts in social network analysis. Topics include handling network data, introduction to network analysis software (UCINET and Netdraw), centrality and prestige in networks, subgroup analysis, and roles and positions. This is an applied course that will require students to test and analyze social networks of employees in a high-tech organization.

References:
Wasserman, S., & Faust, K. 1997. Social Network Analysis: Methods and Applications. Cambridge, New York: Cambridge University Press.
Borgatti, S. P., & Foster, P. C. 2003. The Network Paradigm in Organizational Research: A Review and Typology. Journal of Management, 29(6): 991–1013.

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

Sequential Analysis

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Michael Stegmann (Research Data Centre of the German Pension Insurance)

Date:

03.10.2012, 09:30 – 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: n.s.

You have to register for the 6th 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)

Date:

04.10.2012, 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 6th 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:

04.10.2012, 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

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 6th International Research Workshop to participate in this course.

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.

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.

Introduction to the SOEP

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Elke Holst (SOEP at DIW) and Andrea Schäfer (University of Bremen)

Date:
01.10.2012, 14:00 – 17:30
02.10.2012, 14:00 – 17:30

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 2010, there were almost 11,000 households, and more than 19,000 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 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

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/German (depending on participants)

Contents:

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

  • are knowledgeable about which type of research question are most appropriate for a case study approach,
  • will be able to differentiate between different types of case studies,
  • are familiar with the sampling logic,
  • are knowledge about the typical pitfalls of conducting cases studies,
  • are knowledgeable in writing up case studies for publications and addressing, typical critiques from reviewers.

The course will mainly be based on discussions of basic readings on case studies and “best practice“ examples that are provided on the learning platform in advance by the lecturer. In addition, participants will have the chance to discuss their own research design in class.

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

Propensity Score Matching

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Rafael Rucha (Leuphana University Lüneburg)

Date: 05.10.2011, 09:00 – 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/German (depending on participants)

Contents:

1. Potential Outcome Approach and the Fundamental Evaluation Problem
2. Parameters of Interest and Selection Bias
3. Propensity Score Matching
3.a. Assumptions
3.b. Propensity Score Estimation
3.c. Matching Algorithms
3.d. Evaluation of Matching
3.e. Effect Estimation
4. Further Topics:
4.a. Matching Combined with Other Methods
4.b. Sensitivity Analysis
4.c. Outlook

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