Data Analysis with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Marco Lehmann (UKE 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 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 of 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.

A requirement of students: Basic knowledge in descriptive and inferential statistics is recommended.

Recommended literature and pre-readings:

  • Matloff, N. (2011). The Art of R Programming: A Tour of Statistical Software Design. No Starch Press.
  • Wollschläger, Daniel (2012). Grundlagen der Datenauswertung mit R (2. Aufl.). Berlin: Springer.

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

Writing Your Literature Review

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Paul Vickers (University of Regensburg)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: All research, whatever the discipline and however original, draws on existing studies. Any research project necessarily positions itself in relation to existing empirical, theoretical and methodological debates. This course provides practical insight and advice on how to write a literature review (Forschungsstand) providing an overview of the “state of the art”. The course will begin with insights on tips, tricks and tactics for tackling the literature review, including collecting and synthesizing literature, summarizing existing debates, and providing advice on academic writing in English. The sessions will also involve group work and focused feedback on individual projects.

There are no pre-readings for the course. Some general handbooks that are useful are listed below. However, I would require that each participant sends us at least one week in advance of the course an extended abstract (Exposé in English or German) of their research project.

  • Patrick Dunleavy. How to Plan, Draft, Write and Finish a Doctoral Thesis or Dissertation. Palgrave: 2003.
  • Jose L. Galvan. Writing Literature Reviews: A Guide for Students of the Social and Behavioral Sciences. University of Michigan: 2004.
  • Ansgar Nünning/Roy Sommer, Hrsg. Handbuch Promotion. Forschung – Förderung – Finanzierung. Metzler: 2007.

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

Grounded Theory

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 the 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 buy 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 of 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.

Qualitative Research Methods

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.

Data Analysis with Stata

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Tobias Gramlich, Hesse State Statistical Office

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Stata is a statistical program package widely used (not only) in the social and economic 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 document these tasks to keep them reproducible.

For Beginners with no or very little Stata knowledge!

Course topics cover:

  • “What You Type Is What You Get”: Basic Stata Command syntax
  • Getting (and Understanding) Help within Stata: Stata Built-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

A requirement of students: Statistical concepts will not be part of the course, so participants should have some very basic knowledge of statistics.

Recommended literature and pre-readings: None.

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

Call for Papers: German Journal – Sprache – Literatur – Kultur

We are accepting submissions for academic research on anything “German” – be it a cultural issue, a literary analysis, or linguistic research on how to learn German, and more. We are an interdisciplinary journal and are looking to combine various topics in our publications. We publish in English and German and are looking for a word count of no more than 10.000 words. Submit your paper here https://dc.cod.edu/gj/, or click here https://germanjournal.org/ for more information.

— ACHTUNG: kurze Anmeldefrist — VHB Pro-Dok-Kurs: QUALITATIVE RESEARCH METHODS in Hamburg

Vom 22. bis 25. September 2020 findet der jedes Jahr sehr erfolgreiche VHB-ProDok Kurs „Qualitative Research Methods: Processes and Methods of Qualitative and Mixed Method Research” in Hamburg statt. Durchgeführt wird der Kurs von Professor Thomas Wrona (Technische Universität Hamburg) und Professor Philipp Mayring (Alpen-Adria-Universität Klagenfurt).

Grundlegendes Ziel dieses Kurses ist es, den Teilnehmenden Kenntnisse über den Prozess und die Methoden qualitativer Forschungsdesigns zu vermitteln und die Eignung solcher Designs für konkrete Problemstellungen der Teilnehmer zu diskutieren (Werkstatt-Prinzip).

  • Grundlagen und spezifische Merkmale qualitativer Forschung
  • die Indikation qualitativer Forschung und die Rolle der Wissenschaftstheorie
  • der qualitative Forschungsprozess und der Einfluss von Theorien
  • die Erhebung qualitativer Daten
  • die Auswertung qualitativer Daten: Grounded Theory, Ethnografie, Qualitatives Experiment, Qualitative Heuristik, Diskursanalyse, Sequenzanalyse, Qualitative Inhaltsanalyse
  • Gütekriterien und Geltungsbegründung qualitativer Befunde
  • Methodenintegrative Designs (Mixed Methods)

Interessierte können sich noch bis 29. Juni 2020 per Email an prodok@vhbonline.org anmelden.

Im Moment ist angedacht, den Kurs wie geplant durchzuführen.

Aufgrund der aktuellen Situation informieren wir Sie, dass Sie im Falle einer Terminverschiebung die Möglichkeit haben, Ihre Anmeldung kostenfrei und ohne Erhebung einer Bearbeitungsgebühr schriftlich zu stornieren. Die Kursgebühr wird jeweils erst dann fällig, wenn über Kursformat und Durchführung gesicherte Informationen vorliegen.

Informationen zur Anmeldung finden Sie hier.

Weitere Informationen zum VHB ProDok-Angebot finden Sie unter http://prodok.org.

Für Rückfragen steht Ihnen die Projektkoordinatorin Kathrin Schöps kathrin.schoeps@vhbonline.org) von der Geschäftsstelle des VHB gerne zur Verfügung.

REMINDER: MREV – Call for Papers: Management in Small and Medium-Sized Enterprises (SMEs) from Nordic and Comparative Perspectives

Guest Editors:
Simon Fietze, Martin Senderovitz, & Jesper Raalskov, University of Southern Denmark

Special Issue
SMEs play a significant role in economic development. They stimulate competition and create jobs by developing new technologies and products. However, SMEs’ are often prevented from realising their potential due to internal and external constraints. To deal with these constraints, on the one hand, international, national and regional policies support a number of initiatives to assist SMEs’ growth and development. On the other hand, the dynamic competitive landscape of the twenty-first century is highlighting an increased need for SMEs to emphasis on the managerialization of their organizational structure and processes as well as the professionalization of individuals involved in the organization to ensure long-term survival and growth.

Research on managerialization has shown, that SMEs are characterized by a lower adoption of managerial processes, because of the strong linkages between manager and company. In addition, there is a lack of management knowledge at different levels. It is commonly highlighted that the management in these firms is characterized by some degree of informality and that individual and social control systems are more suited to these enterprises, due to common shared values and languages, informal relationships etc.

In addition, decisions in SMEs are also determined by the institutional and contextual factors and in consequence how much of their potential is realised (e.g. innovation). The Nordic context and their countries’ business systems have during the last few years served as exemplary models for practitioners from business, politics and research. The Northern European countries are among the most competitive economies, have a well-developed welfare system and a large public sector. These qualities have raised an increased interest both among practitioners and scholars alike to understand the “success” mechanisms of the Nordic business systems.

Based on these considerations, the purpose of this special issue of management revue – Socio-Economic Studies is to enhance our understanding of management practices in  SMEs from a Nordic and comparative perspective. Topics may include, but are not limited to the following issues:

  • What institutional conditions determine management practices in SMEs?
  • What is the role of managerial mechanisms and professional managers in SMEs and family firms’ development and growth?
  • How does social- and environmental considerations influence management practices in SMEs in a Nordic context?
  • What is the role of HR in developing management practices in SMEs?
  • How do talent management impact SMEs development and growth?

This is not an exhaustive list.

21st Nordic Conference on Small Business Research (NCSB) 2020
Since its inception in 1980 the NCSB conference has been a biannual event in the Nordic tradition characterized by an open atmosphere that encourages the exchange of ideas between researchers with research interests in the field of small business and entrepreneurship. The 2020 NCSB conference in Kolding, Denmark will continue this tradition and welcomes papers from all areas of the small business and entrepreneurship.

Special Issue of management revue – Socio-Economic Studies
management revue – Socio-Economic Studies is a peer-reviewed, interdisciplinary European journal publishing both qualitative and quantitative work, as well as purely theoretical papers that advances the study of management, organization, and industrial relations. Management Revue publishes articles that contribute to theory from a number of disciplines, including business and public administration, organizational behavior, economics, sociology, and psychology. Reviews of books relevant to management and organization studies are a regular feature.

All contributors to the 21st NSBC conference are invited to submit their paper for the special issue of management revue – Socio-Economic Studies. Full papers for this special issue must be submitted by September 30th, 2020. All contributions will be subject to double-blind reviews. Papers invited to a ‘revise and resubmit’ are due March 31st, 2021. The publication is scheduled for issue 3/2022. Please submit your papers electronically via the online submission system using ‘SI Management in SMEs’ as article section.

Manuscript length should not exceed 10,000 words (excluding references) and the norm should be 30 pages in double-spaced type with margins of about 2.5 cm on each side of the page. Further, please follow the guidelines on the journal’s homepage.

Hoping to hear from you!
Simon Fietze (simonf@sam.sdu.dk)
Martin Senderovitz
Jesper Raalskov

GIGA Summer Term Programme 2020

Due to the coronavirus situation all courses will be offered online!

The following seminars are open to doctoral students and postdoctoral researchers at the GIGA and its partner institutions. Please note that other external participants are asked to pay a small course fee.

26 May 2020
Research Data Management
Catharina Wasner, GIGA

4 – 5 June 2020
Case Studies, Process Tracing, and Comparative Analysis
Eleanor Knott, London School of Economics

11 June 2020
Global Approach to CAS Series I: Economic Statecraft in the Middle East: Conceptualization and Case Studies
Eckart Woertz, GIGA

17 June 2020
Global Approach to CAS Series II: Choosing case studies in comparative research
Merike Blofield, GIGA

22 – 23 June 2020
Qualitative Interviews
Alenka Jelen-Sanchez, University of Stirling

29 – 30 June 2020
Regression Analysis
Michael Dorsch, Central European University

Participants need to register online by filling in the registration form that is available on the website of the respective event.
Registration deadline: Thursday, 14 May 2020
Confirmations of successful registration will only be sent after the deadline has passed.

#GIGA German Institute of Global and Area Studies: #RegressionAnalysis (29.-30.06.2020)

Target audience
Doctoral Students and Postdoctoral Researchers at GIGA and Partner Institutions

About the course
Researchers are often interested in using samples of data to investigate relationships between variables. Regression analysis is a process of finding the mathematical model that best fits the data. This class provides an intuitive and practical introduction to linear regression, the workhorse method of applied econometrics and a fundamental statistical technique for research in the quantitative social sciences.

The course covers the fundamentals of regression analysis. We begin with a (very) brief review of the necessary ingredients from probability and statistics. From day one, students will learn the basic functionality of the statistical software package Stata, starting with the generation of descriptive statistics and graphics. Coverage of the linear regression model and regression diagnostics constitute the core of the course. Non-linear regression models and other more advanced regression techniques will also be introduced.

This is a hands-on, applied course where students will analyze data drawn from the fields of economics and political science. There will be applied assignments following each topic, which we will discuss as a class at before moving on the next topic. If you fully apply yourself in this course, you will become proficient with the basic methods of regression analysis and you will become a confident user of statistical software for computing linear regressions and interpreting their results.

This course will be offered online.

About the lecturer
Michael Dorsch is Associate Professor of Economics at Central European University, where he teaches Applied Regression Analysis, Public Choice, and Public Sector Economics within the School of Public Policy. Employing formal theoretical modeling and data-driven empirical investigation, his work has appeared in leading academic journals across the quantitative social sciences.

Please note that other external participants than the one mentioned in the target group above are asked to pay a small course fee.

Registration closes 14 May 2020.

Registration and further information

Content retrieved from: https://www.giga-hamburg.de/de/dp/training/course-programme/regression-analysis.