Category Archives: IRWS Courses 2010

Courses during the International Research Workshop 2010

Multilevel Modeling

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Roel de Jong (University of Hamburg)

Date: 06.10.2010, 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:
Many research designs in the social, medical and biological sciences yield data that have a hierarchical, nested or clustered structure. Examples include pupils within classes, children within families, occasions within an individual, experiments within batches, tests within laboratories, and so on. Classic statistical techniques fail to take into account that observations from the same cluster are likely to be dependent on each other, and are therefore not suited to analyze such data. Multilevel models have been developed over the last 20 years as an alternative, and are now the de-facto standard for the analysis of data with these complex patterns of variability.

In this course, you will learn :

  • About the structure of multilevel models.
  • How to ascertain the degree to which the observations of the sample are dependent.
  • How to specify and fit multilevel models using statistical software.
  • How to perform statistical tests relevant to the hypotheses at hand.

You have to register for the 4th International Research Workshop to participate in this course.

Network Analysis

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Anja Iseke (University of Paderborn)

Date: 06.10.2010, 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:
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.

You have to register for the 4th 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:
04.10.2010, 09:00 – 12:30
05.10.2010, 09:00 – 12:30
07.10.2010, 09:00 – 12:30
08.10.2010, 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 2009

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 4th International Research Workshop to participate in this course.

Structural Equation Modeling with Amos

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Volker Müller-Benedict and Katja Spanier (University of Flensburg)

Date: 06.10.2010, 09:00 a.m. – 17:30 p.m.

Room: n.s.

Max. number of participants: 20

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS 2010

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

Contents:
Structural equation modeling (SEM) is a statistical methodology that takes a confirmatory approach to the analysis of a strucutral theory bearing on some phenomenon. Typically, the structural relations can be modeled pictorially to enable a clearer conceptualization of the theory under study. The course introduces into the basic concepts of SEM and into the program package AMOS, which is widely used to graph and to analyze strucutral models. Data of different social areas will be used as examples.

Preconditions:  Basic knowledge of SPSS

You have to register for the 4th 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:
04.10.2010, 14:00 – 17:30
05.10.2010, 14:00 – 17:30
07.10.2010, 14:00 – 17:30

Room: n.s.

Max. number of participants: 16

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS 2010

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

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 4th International Research Workshop to participate in this course.