Category Archives: Archive

Qualitative (Expert) Interviews

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Heiko Grunenberg (Deutsches Jugend Institut München)

Date:
04.10.2010, 09:00 – 12:30
05.10.2010, 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

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

Contents:
The workshop addresses participants who are quite unexperienced in procedures of conducting qualitative interviews. We want to do some exercises in the theory and the practice of interviewing. Thus, we want to see: What are the main postulates in this kind of qualitative research and what are the most frequent mistakes?

At the first, we will build are theoretical basement. What are the characteristics of qualitative and quantitative interviewing? You will learn about the different kinds of interviews and the variety of questions. (This part is hold in German, because it depends on the grammar of every language!) Furthermore, the course covers a broader view of the specifics of interviews with so called experts. You will practice to conduct own “public” interviews based on your research and will collect several routine in conducting qualitative interviews.

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

Data Analysis with R – Reproducible Research

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Detlef Steuer (HSU Hamburg)

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

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

Contents:
Starting with a basic level introduction to R and its concepts the course will cover typical problems arising in research using statistical tools. Focus will be on the tool R itself, not on the underlying statistics. Nevertheless procedures for descriptive statistics, regression, and time series analysis methods will be given in the examples. Following a ‘natural’ workflow for statisticians the course will cover reading (and cleaning) data, generating graphs and reports, defining functions for repetitive work and keeping research reproducible.

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

Teaching Skills: How to Implement Activating Methods Appropriately

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

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

Date: 06.10.2010, 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 4th International Research Workshop to participate in this course.

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.

Quantitative Befragungen

Institution: Fakultät Wirtschafts- und Sozialwissenschaften, Helmut-Schmidt-Universität/Universität der Bundeswehr Hamburg

Studiengang: Doktorandenstudium

Dozent/in: Prof. Dr. Claudia Fantapié Altobelli

Termin(e): 29.04. und 27.05.2010, jeweils 13.00 – 16.15 Uhr

Raum: H1/105

Max. Teilnehmerzahl: k.A.

Semester-Wochen-Stunden: k.A.

Credit Points: k.A.

Unterrichtssprache: Deutsch

Beschreibung:
Adressaten des Kurses sind Doktoranden, welche im Rahmen ihrer Dissertation eine großzahlige repräsentative standardisierte empirische Erhebung durchführen wollen und welche noch nicht über fundierte Kenntnisse der Methoden empirischer Sozialforschung besitzen. Der Kurs gliedert sich in zwei Teile:

Teil 1: Entwicklung eines standardisierten Fragebogens

Hier werden die zentralen Aspekte behandelt, welche beim Aufbau eines Fragebogens zu beachten sind. Fragearten, Formulierung, Reihenfolge der Fragen, zu vermeidende Fehler und Tipps.

Teil 2: Messung, Operationalisierung und Skalierung von Variablen

In diesem zweiten vertiefenden Teil wird erläutert, auf welche Weise die interessierenden Variablen gemessen werden können. Unter anderem wird erörtert, wie Skalen entwickelt werden können, welche den Anforderungen an Reliabilität und Validität genügen. Daneben erfolgt eine Einführung in Strukturgleichungsmodelle.

Erforderliche Vorkenntnisse: keine

Um die Veranstaltung vorbereiten zu können müssen wir abschätzen können, mit wie vielen Teilnehmern zu rechnen ist. Daher bitte ich um Anmeldung bis zum 20.4.09 direkt mir per E-Mail.

Personal und Organisation

Institution: Institut für Arbeitsmarkt- und Berufsforschung (IAB), Graduiertenprogramm

Dozent: Prof. Dr. Lutz Bellmann

Termine: 28.04.2010, 12:30 Uhr – 16:30 Uhr, 29.4. 2010, 8:30 Uhr – 12:30 Uhr

Raum: Sitzungssaal 160 der Bundesagentur für Arbeit, Nürnberg

Max. Teilnehmerzahl: 15

Credit Points: k.A.

Beschreibung:   

In der Veranstaltung werden neuere empirische Studien zu den Auswirkungen personalwirtschaftlicher Unternehmensstrategien und Organisationskonzepte auf die Entlohnungs- und Beschäftigungsstrukturen vorgestellt. Die zu behandelnden Artikel beruhen auf den Daten des IAB-Betriebspanels und den Linked Employer-Employee Daten des IAB.

Bitte melden Sie sich bis zum 31.03.2010 verbindlich bei der Studienkoordinatorin des Graduiertenprogramms sandra.huber@iab.de an.