Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Daniel Schnitzlein (Leibniz University Hannover & Inside Statistics)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Results of scientific research are often (and increasingly) complex and hard to understand for a non-scientific audience. However, at the same time, the transfer of results from academic research to an outside-academia recipient, for example, politics, private foundations or private firms providing research funding, but also the interested public, gets more and more important. Probably the most important skill in this context is the ability to create good visualization of your main (quantitative data-based) results.

Today, data are everyday companions in almost all scientific and professional fields. The graphical representation of data is both an elementary step in the analysis process and an important component in communicating the results. The course Data Visualization trains this ability and leads you away from the standard diagrams of common office/statistics packages to clear and concise representations with the help of many practice-oriented examples. The course consists of 50% lecture and 50% hands-on session.

Requirement of students: Basic knowledge of empirical (quantitative) social and economic research is beneficial, but not strictly necessary. The methods trained in this course are applicable to all visualization tasks independent of the applied software package. Visualization examples will be based mainly on R. Code examples will be provided within the lecture. A selection of examples will also be available in Excel and Python.

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

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Fabian Hattke (Universität Hamburg)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The purpose of this course is to familiarize participants with the basic characteristics of qualitative research. The course introduces methodological and practical aspects of different forms of qualitative research like case studies, discourse analyses, interviews, observations, and qualitative meta-syntheses. The course covers a variety of issues, including the philosophy of science, research designs, theory building, and sampling strategies. It also discusses practical challenges like the development of research questions, the use of different coding approaches, technical tools, and ethical questions.

Recommended literature and pre-readings:

• Adler, P. S., Forbes, L. C., & Willmott, H. (2007). Critical management studies. Academy of Management Annals, 1(1), 119-179.
• Alvesson, M., & Karreman, D. (2000). Varieties of discourse: On the study of organizations through discourse analysis. Human Relations, 53(9), 1125-1149.
• Corbin, J., & Strauss, A. (2014). Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage publications.
• Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532-550.
• Flick, U., von Kardoff, E., & Steinke, I. (Eds.). (2004). A companion to qualitative research. Sage.
• Hoon, C. (2013). Meta-synthesis of qualitative case studies: An approach to theory building. Organizational Research Methods, 16(4), 522-556.
• Mayring, P. (2004). Qualitative content analysis. A companion to qualitative research. Forum: Qualitative Social Research, 1, 159-176.
• Sandelowski, M., & Barroso, J. (2006). Handbook for synthesizing qualitative research. Springer Publishing.
• Wodak, R., & Meyer, M. (Eds.). (2015). Methods of critical discourse studies. Sage.
• Yin, R. K. (2017). Case study research and applications: Design and methods. Sage publications.

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

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Gilberto Rescher (University of Hamburg)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The purpose of this workshop is to offer a comprehensive introduction to Grounded Theory, considering its use in manifold kinds of fields and contexts of study and the feasibility of combining it with diverse research techniques (mainly qualitative and ethnographic ones). The workshop is as much oriented to “beginners” interested in learning about the basic epistemological perspective of Grounded Theory and its practice, as to participants that already possess deeper knowledge about Grounded Theory or even have employed this methodology in research and wish to discuss specific aspects or questions that arose in research practice. Correspondingly, the workshop will be adjusted to participants’ needs.

Hence, we will discuss basic concepts and procedures like research design, data collection, coding, categorizing, writing memos, theoretical sampling and theoretical saturation. Then exercises based on examples, ideally, those attributed by participants will be employed to clarify these concepts by putting them into practice. Therefore, participants with concrete research projects (be it planned or already put in practice) are invited to share their ideas, design and material, with the aim to (further) develop research practices among the group. If you are interested in presenting examples, please contact Gilberto Rescher in English or German (gilberto.rescher@uni-hamburg.de). Apart from this, the lecturer will stress upon his own research experiences to show how he actually uses Grounded Theory as an important kind of guideline in a broader methodological setting.

In addition to your registration, please answer the following questions (English or German):

• What is your current status (e.g. PhD student?)
• What is the focus of your interest in Grounded Theory?
• What sort of content and what feedback do you expect?

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

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Timo Friedel Mitze (University of Southern Denmark)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The one-day workshop is organized as a (basic!) introduction to the use of panel data in the different fields of business and social sciences. It is not meant as an expert course in advanced panel data modelling. Participants should take this into account before enrolling for the course.

Panel data (sometimes also referred to as longitudinal data) can be best described as the combination of cross-sectional and time-series information for individuals, firms, regions, countries etc. The main goal of the workshop is thus to provide participants with insights into why and when applied researchers can benefit from working with panel data. The course gives an overview of the different types of micro and macro models that are available for panel data estimation and shows how to properly estimate these models with the help of the statistical software package STATA. Examples for models covered are pooled OLS (POLS), random and fixed effects type models, REM and FEM, respectively, Difference-in-Difference estimation and panel event studies. On the fly, the workshop will show participants how STATA organizes panel data for the effective use of the above-described models. Building on these basics, a brief outlook on more advanced panel data estimation techniques will be given.

Course Tools: Please bring your laptop computer. STATA can be installed at the beginning of the IRWS. Licences will be provided. Datasets and STATA ado-files will be provided ahead of the course and should be installed on the participants’ computers. A list of introductory readings will be provided to registered participants ahead of the course.

Exemplary Readings: Baltagi, B. Econometric Analysis of Panel Data. 3^rd or higher edition, Wiley.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Sylvia Rohlfer (CUNEF University)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Regardless of discipline and however original a research project is, the literature review is a key part of a thesis or article. However, writing a literature review is the most daunting part of writing. Doctoral students often comment that the literature seems (and often is) massive. Hence, it might be helpful to be as systematic as possible when completing this task.

In this course, you will get practical insights and advice on how to effectively write a literature review. This will include tips, tricks and tools to improve your reading and sorting of the references, synthesizing the literature, summarizing existing debates and providing advice on how to present reviews effectively. We will also consider your writing habits. The sessions will be practical and require active involvement by students who will work in groups and get focused feedback on individual projects.

There are no pre-readings for the course, but participants will be required to complete smaller tasks outside the allotted workshop hours. Prior to the seminar (on or before the 28th of August) participants should send an extended abstract of their research project (two pages max. and in English/German/Spanish) to srohlfer@cunef.edu.

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