Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Nicolas Legewie (German Institute for Economic Research – DIW Berlin)

Date: Monday, 26/09/16 – Wednesday, 28/09/16 from 09.00-12.30 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

In this course, participants will learn the basics of qualitative interviewing. We will work with a standard guided interviewing technique. In three sessions we will cover issues of research design (research questions and case selection), designing interview guidelines, conducting interviews, and analyzing qualitative interview data. The structure of the course follows a workshop format, with participants practicing design, interviewing, and analytic skills in individual and group exercises.

Participants who attend this workshop will have familiarized themselves with relevant methodological and practical issues of qualitative interviewing and gathered first experiences designing, conducting, and analyzing qualitative interviews.

Basic knowledge on methods of empirical social research are required. No previous knowledge on qualitative methods is necessary.

You have to register for the 10th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Andrea Knecht (Independent Researcher)

Date: Thursday, 29/09/16 (09:30 – 18:00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The focus of social network analysis lays on relations among actors. These relations may merge, show specific structures, have effects, and evolve. Applications of social network analysis can be found in various fields of social research. The workshop is intended to give an introduction to fundamental ideas and applications. Participants become familiar with relevant theoretical arguments and basic statistical methods. We address typical issues related to social network analysis in practice and (if applicable) discuss research projects of participants. Prior knowledge is not required but does not present an obstacle.

Course topics cover

• Classic and typical applications of sna
• Fundamental concepts and theoretical approaches
• Methods for data collection
• Basic statistics on the individual and network level
• Discussion of network projects

Recommended literature and pre-readings:

• Freeman, L. (2004). The development of social network analysis. A Study in the Sociology of Science.
• Scott, J. (2012). Social network analysis. Sage.

You have to register for the 10th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Jonathan Mole, (Europa-Universität Flensburg)

Date: Thursday, 29/09/16 (09:30 – 18:00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Writing an academic text can be a daunting and complex task requiring knowledge of a range of accepted writing conventions as well as the ability to construct sentences that are idiomatically and grammatically correct. This course aims to highlight a range of important components in the writing process through analysis and practice using authentic academic texts. Topics covered include: academic style (formality, impersonal and objective language, passive voice, caution, nominalisation); structure at sentence, paragraph and document level; reporting verbs and their forms; coherence and cohesion.

Requirement of students: Please supply at least two weeks before the workshop begins an abstract or proposal for your research project, or a similar extract of academic text that you have written. English language skills on CEFR level B2/C1.

You have to register for the 10th International Research Workshop to participate in this course.

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Marco Lehmann (University Medical Centre Hamburg-Eppendorf)

Date: Monday, 26/09/16 – Wednesday, 28/09/16 from 09.00-12.30 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

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. Successful participation requires basic knowledge in descriptive and inferential statistics. The students are encouraged to bring their own laptops with the free software R (www.r-project.org/) and RStudio (www.rstudio.com/) installed.

Basic knowledge in descriptive and inferential statistics is recommended.

Recommended literature and pre-readings:

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

You have to register for the 10th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Günter L. Huber & Dr. Leo Gürtler

Date: Thursday, 30/09/16 (09:30 – 18:00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The workshop starts with an overview on principal approaches to the analysis of qualitative data and demonstrates the implementation in the software package AQUAD Seven. Applying various sets of empirical data retrieval strategies, table analyses, code linkages and QCA are demonstrated. Selected techniques of exploratory data analysis in R show the advantages (and limits) of combining qualitative and quantitative methods. The participants are strongly invited to bring their own empirical data for further analyses.

You have to register for the 10th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Christina Hoon (Leibniz-University Hannover)

Date: Monday, 26/09/16 (09:00 – 12:30) & Tuesday, 27/09/16 (09:00 – 12:30 & an additional session in the evening); NB: No session on Wednesday morning.

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The key purpose of this workshop is to increase participants’ understanding about the key concepts, strategies, and steps in grounded theory research. This workshop intends to deepen theoretical and practical understanding of the constant comparative method, open, axial and selective coding. Further, the participants will learn the key elements of theoretical sampling, theoretical saturation, and theoretical sensitivity. In addition, common challenges and pitfalls in grounded theory research will be discussed. To assist participants to craft valuable and effective research papers, exemplars from current research projects will be assessed and critically reviewed.

Literature

• Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. London, UK: Sage.
• Gioia, D. A., Corley, K. G., & Hamilton, A. (2013). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational Research Methods, 16, 15-31.
• Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Grounded theory procedures and techniques (2nd Ed). Thousand Oaks, CA: Sage.

You have to register for the 10th International Research Workshop to participate in this course.