Philosophies of Science

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Dr. Jaime Bonache (Universidad Carlos III de Madrid and Permanent Visiting Professor at ESADE Business School in Barcelona, Spain)

Date: see Workshop Programme

Max. number of participants: 15

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: By one widely held conception, Philosophy of Science is the attempt to understand the meaning, method, and logical structure of science by means of a logical and methodological analysis of the aims, methods, criteria, concepts, laws, and theories of science. It is thus an attempt to get a clear understanding of what science is and what is not. The major goal of this course is to provide students that understanding.

We would like to stress that this is an introductory course in Philosophy of Science. Our principles of selection of the topics included have been these: The selection should be intrinsically interesting. It should be relevant and comprehensible to a beginning student. It should serve to provoke discussion and criticism. We have also tried to relate the topics to current philosophical and methodological debates in the management area.

  1. INTRODUCTION
    a. The nature of management research
    b. (Two basic) Philosophical Positions in
    Management Research: Positivism and Interpretivism
  2. THE POSITIVIST APPROACH
    c. Positivism and Post-positivism
    d. Positivist research traditions in Management
    i. Theory Testing Research
    ii. Theory Building/Elaboration Research
    e. Evaluating Research Contributions in the Positivist tradition
    f. Some problems of positivism
  3. THE INTERPRETIVE APPROACH
    g. Phenomenology, Hermeneutics and its predecessors
    h. Comparing positivist and interpretive research contributions
    i. Evaluating research in the Interpretive Tradition
    j. Is interpretivism compatible with positivism?

The assigned readings are the following:

Bansal, P, Smith,W. and Vaara E. (2018): “New ways of seeing through qualitative research, Academy of Management Journal, Vol. 61 (4): 1189-1195.

Bonache. J and Zarraga, C. (2019): Compensating International Mobility in a Worker’s Cooperative: An interpretive study, Journal of World Business, in press

Lee, A. S. (1991). Integrating positivist and interpretive approaches to organizational research. Organization science, 2(4), 342-365.

Basic Bibliography:

Aguinis, H., & Solarino, A. M. 2019. Transparency and replicability in qualitative research: The case of interviews with elite informants. Strategic Management Journal. https://doi.org/10.1002/smj.3015

Alvesson, M., & Sandberg, J. (2011). Generating research questions through problematization. Academy of management review, 36(2), 247-27,1

Benton, T. (2001). Philosophy of social science: The philosophical foundations of social thought, McMilllan International.

Gibbert, M., Ruigrok, W., & Wicki, B. (2008). What passes as a rigorous case study?. Strategic management journal, 29(13), 1465-1474.

Kuhn, T. (1996): The Structure of Scientific Revolutions, 3rd Edition (First Edition 1962), The University of Chicago Press

Popper, K. (1963): “Science: Conjectures and Refutations.” From Conjectures and Refutations, pp. 33-41, 52-59. New York: Harper and Row

Rosenberg, A. (2011). Philosophy of science: A contemporary introduction. Routledge.

Sanders, P. (1982). Phenomenology: A new way of viewing organizational research. Academy of management review, 7(3), 353-360.

Sandberg, J. (2005). How do we justify knowledge produced within interpretive approaches?. Organizational research methods, 8(1), 41-68.

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

Introduction to Survival Analysis

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Andrea Schäfer (SOCIUM/Universität Bremen)

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 goal of this course is to introduce you to the topic of survival (or time to event) analysis and describes selected methods used for modelling and evaluating survival data. General statistical concepts and methods discussed in this course include survival and hazard functions, Kaplan-Meier estimator and graph and Cox proportional hazards model. Accordingly, we will explore the different types of censoring and truncation and, discover the properties of the survival and hazard function. You will learn the derivation and use of Kaplan-Meier (KM) non-parametric estimates and learn how to plot the KM and test for differences between groups. Further, we explore the motivation, strength and limits of Cox’s semi-parametric proportional hazard model and know how to fit the model. For our computer sessions we will be using a sample of the SOEP (Socio-economic Panel) data set. The course requires participants to use Stata to analyse survival analysis data.

In this course, you will learn about:

  • The goal, problem and strengths of survival analysis
  • Differences of survival analysis methods
  • Censoring and truncation (concepts and types)
  • The distribution of failure times (functions, rates and ratio, data layout, descriptive statistics)
  • Basics of non-parametric analysis (estimating Kaplan Meier estimator and comparing curves, graphing)
  • Basics of semi-parametric analysis (model definition and features, understanding and estimating Cox’s PH model)

Required: intermediate statistical knowledge, basic Stata skills

Recommended literature and pre-readings:

Allison, P. A. (2014): Event History and Survival Analysis. Quantitative Applications in the Social Sciences. Sage

Cleves, M.; W. Gould, R. G. Gutierrez, and Y. V. Marchenko (2010): An Introduction to Survival Analysis Using Stata, (3nd ed), Stata Press.

DTC Desktop Companion to the German Socio-Economic Panel (SOEP). This documentation is intended to give novice users a “jump start” in understanding the SOEP, its structure, depth, and research potential: http://companion.soep.de/Contents%20of%20SOEPcore/index.html

Goebel, J.; M. M. Grabka, S. Liebig, M. Kroh, D. Richter, C. Schröder and J. Schupp (2018): The German Socio-Economic Panel Study (SOEP) In: Jahrbücher für Nationalökonomie und Statistik / Journal of Economics and Statistics.

Kleinbaum, D. G. and M. Klein (2005): Survival analysis: a self-learning text (2nd ed), Springer.

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

13th International Research Workshop – Methods for PhD – 15–20 September 2019: Registration Open Now!

Akademie Sankelmark, Flensburg (Germany)
http://www.phd-network.eu/irws/programme/

PROGRAMME

PARALLEL MORNING SESSION 1 (16 – 18 September 2019)

  • Data Analysis with Stata
    Tobias Gramlich, Hesse State Statistical Office
  • Qualitative Interviewing
    Dr. Sarah Potthoff, Ruhr-University Bochum
  • Grounded Theory
    Dr. Christine Moritz, Feldpartitur GmbH
  • Introduction to Survival Analysis
    Andrea Schaefer, University of Bremen
  • Writing your Literature Review
    Prof. Dr. Katharina Stornig, Justus-Liebig-University Gießen

PARALLEL AFTERNOON SESSION 2 (16 – 18 September 2019)

  • Data Analysis with R
    Dr. Marco Lehmann, UKE Hamburg
  • Analysing Panel and Spatial Data
    Prof. Dr. Timo Friedel Mitze, University of Southern Denmark
  • Qualitative Comparative Analysis (QCA)
    Dr. Jonas Buche, Leibniz University Hannover
  • Case Study Research
    Dr. Kamil Marcinkiewicz, University of Oldenbourg
  • Introduction to Data Mining and Quantitative Text Analysis with R
    Pascal Jürgens, Johannes Gutenberg-University Mainz

PARALLEL SESSION 3 (19 September 2019)

  • Philosophies of Sciences
    Prof. Dr. Jaime Bonache, Carlos III University of Madrid
  • Questionnaire Design
    Prof. Dr. Daniel Schnitzlein Leibniz University Hannover & DIW Berlin
  • Measuring Preferences using Conjoint Analytic Methods and Advanced Compositional Approaches
    Prof. Dr. Martin Meissner, University of Southern Denmark
  • Necessary Condition Analysis
    Prof. Dr. Sven Hauff, Helmut-Schmidt-University
  • Multi-level Modelling with R
    Dr. Daniel Lüdecke, UKE Hamburg

WORKSHOP COMMITTEE:

  • Wenzel Matiaske, Helmut-Schmidt-University
  • Simon Fietze, University of Southern Denmark
  • Heiko Stüber, Institute for Employment Research

FEES & CREDIT POINTS

499 Euro (with accommodation and meals)
299 Euro (without accommodation; lunch and dinner are included)

It is possible to get a certificate on 5 credit points (according to the European Credit Transfer System).

CONTACT & REGISTRATION

For any questions don’t hesitate to contact the workshop committee (irwsnetwork@gmail.com).
Please register for the workshop on the workshop website.

ORGANIZERS

  • Helmut-Schmidt-University/University of the FAF Hamburg, Faculty of Economics and Social Sciences
  • Institute for Employment Research (IAB), The Research Institute of the Federal Employment Agency in Nuremberg
  • Akademie Sankelmark im Deutschen Grenzverein e.V.

SUPPORTERS

  • Europa-Universität Flensburg
  • University of Hamburg, Faculty of Economics and Social Sciences
  • University of Hamburg, School of Business
  • Leuphana University Lüneburg, Faculty of Economics
  • Werkstatt für Personal- und Organisationsforschung e.V.

ReMaT – Research management training for early-stage researchers

A ReMaT workshop – Research management training for early-stage researchers – will take place in Hamburg on 18th and 19th November 2019. The workshop is designed for early-stage researchers in engineering and natural sciences, particularly PhD candidates from the 2nd year onwards. The idea of European networking is very much embedded in the concept, and we encourage participation from many different countries at the workshop.

ReMaT is an interactive, intensive workshop providing an introduction to research management. It involves two international trainers and is held in English. The modules of the workshop cover exploitation of knowledge and entrepreneurship, acquisition of grants, intellectual property rights and the management of interdisciplinary projects. They are delivered in such a way that it challenges participants to consider different perspectives on how they might use their PhD education in a variety of career paths, and convince others to hire them.

The organiser:
Tutech Innovation GmbH was founded in 1992 as the technology transfer institute for the Hamburg University of Technology. We are offering services regarding participation in EU funded programmes especially for publicly funded universities and SMEs. TUTECH ACADEMY workshops on technology transfer and innovation and research management equip participants from research and business with the right skill sets to do new work in their fields. Tutech Innovation GmbH has considerable experience in coaching researchers from a wide variety of backgrounds, disciplines and experience as well as nurturing those doing PhDs, participating in graduate schools or in the early stages of career development.

More information:
For further information please visit tutech.academy or send your enquiry to academy@tutech.de.

Questionnaire Design

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Daniel Schnitzlein (Leibniz University Hannover & DIW Berlin)

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 provides an overview of the theoretical basics and empirical evidence related to questionnaire design. The cognitive process of survey responding, challenges of designing effective survey questions including aspects of proper question wording and optimal response formats, as well as pretest techniques for evaluating survey questions will be discussed. The lecture will be accompanied by a practical part.

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. Christine Moritz (Feldpartitur GmbH)

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 key purpose of this workshop is to offer a comprehensive introduction to Grounded Theory and it is both, theoretically and practically, orientated. First, participants meet the so-called “essentials”: research design; data collection, open/axial/selective coding, categorizing, writing memos and theoretical sampling (the subjects theoretical sensitivity and generating theory will only be touched), then, second, examples might exercise and clarify these concepts. To assist participants to develop valuable and effective research practices, two or three exemplars from current research projects will be assessed and reflected. If you are interested in this working method please submit a brief abstract (1-2 pp.) to info@christine-moritz.de.

In addition to your registration please answer 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.

Introduction to Data Mining and Quantitative Text Analysis with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Pascal Jürgens (Johannes Gutenberg-University Mainz)

Date: see Workshop Programme

Max. number of participants: 15

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: This course offers a simple and pragmatic introduction into the quantitative analysis of textual data in R and simple data mining tasks. There are four main themes: 1) Data logistics: Data preparation is a crucial task that often takes a lot of work and significantly influences results. We will therefore spend some time to understand how to load, prune, re-arrange and represent textual datasets. 2) Text analysis tools: This section will introduce methods for answering research questions through quantitative approaches, such as word frequency analysis, topic modeling and select semantic methods (if there is a specific application participants are particularly interested in, they are encouraged to reach out in advance to make sure it will be covered). 3) Data mining: Part three covers simple but powerful types of machine learning including clustering and linear models. More advanced methods (such as neural networks) will not be covered in DIY-exercises, although we may cover the basic mechanisms if time permits. 4) Rigor: The quantitative methods at hand are particularly sensitive to conceptual and empirical variation. We will therefore take apart some of our example models in order to understand how and when they fail.

A basic familiarity with the R environment and R Studio is required; introductory material will be provided in advance so that participants can read up and gain the necessary skill level before taking part. Participants should bring a laptop with R Studio pre-installed (www.rstudio.com).

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: Jun.-Prof. Dr. Katharina Stornig (Justus-Liebig-Universität Gießen)

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 and German. 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, we would require that each participant sends us at least one week in advance of the course an extended abstract (Exposé) 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.

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 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.

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.

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

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.