Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Jonathan Mole (Europa-Universität Flensburg)

Date: Monday, 11/09/17 – Wednesday, 13/09/17 (14.30 – 18.00 h)

Max. number of participants: 15

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 the knowledge of a range of accepted writing conventions as well as the ability to construct sentences that are idiomatically and grammatically correct. This workshop is primarily aimed at people who are in the process of writing an academic text – a thesis, proposal, article etc. It provides the opportunity to obtain individual feedback on a text which you submit prior to the workshop. During the workshop, assistance will be given to enable you to self-correct any issues that have been highlighted (structure, understanding, logic, language etc.). In addition, or for those participants who are not in the writing process, exercises will be available dealing with a range of topics including: 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. Answers will be provided for all exercises as well as a range of potentially useful information, links, book recommendations etc.

Requirement of students: For those wishing to improve an existing academic text, please supply a maximum of 3 pages at least two weeks before the workshop begins. English language skills at CEFR level B2/C1 are required.

Recommended literature and pre-readings: None.

You have to register for the 11th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Timo Friedel Mitze (University of Southern Denmark/Department of Business and Economics)

Date: Monday, 11/09/17 – Wednesday, 13/09/17 (14.30 – 18.00 h)

Max. number of participants: 30

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The course is basically divided into two parts: Part 1) Analysing panel data. Part 2) Spatial Data Analysis

Part 1): Analysis of Panel Data:

This part of the course is an introduction to the panel data analysis and it provides some insights into why we use panel data. What kinds of models are available for panel data and how do we estimate such models. It also covers some extensions to the basic panel data models and finally there will be a session where you will learn how to estimate panel data using STATA.

Part 2): Spatial Data Analysis

In research fields such as regional science, quantitative sociology and business analysis as well as real estate, labour and health economics (to name just a few), researchers are increasingly aware of the fact that “space matters”. Thus, the goal of this workshop module is to equip participants with the basic knowledge about methods and tools currently available in “spatial statistics” and “spatial econometrics”. Besides presenting the general logic and theoretical foundations of these modelling approaches for variables with an explicit geographical context, a strong focus lies on illustrating the potential for applied work with these tools in the software package STATA. The module is structured as follows: After a brief introduction to the historical evolution of spatial data analysis, different research settings in economics and related research fields are outlined, which may call for the explicit use of spatial estimation techniques, for instance, in order to identify the importance of space-time autocorrelations and neighboring effects (spatial spillovers). Following this introduction, the concept of the spatial weighting matrix is introduced and statistical approaches to measure and visualise the degree of spatial dependence for a variable under study are presented. Moving from univariate to multivariate modelling techniques, the course then derives estimation techniques used in the field of spatial econometrics and links this theoretical knowledge with hands-on applications for different spatial datasets. Finally, to serve as an outlook on future research possibilities, state-of-the-art concepts such as spatial panel data models and spatial limited dependent variable models will be presented. Datasets and STATA ado-files will be provided ahead of the course and should be installed on the participants’ computers.

Requirement of students: Basic knowledge of Econometrics. OLS, GLS.  Please bring your laptop computers with STATA installed on it.

Recommended literature and pre-readings:

• Relevant Chapters in Cameron, A.C. und Trivedi, P.K. (2005). Microeconometrics: Methods and Applications. Cambridge University Press, Chapter V

You have to register for the 11th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Tobias Gramlich

Date: Monday, 11/09/17 – Wednesday, 13/09/17 (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:

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 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

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: tba.

You have to register for the 11th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Jonas Buche (Leibniz Universität Hannover)

Date: Monday, 11/09/17 – Wednesday, 13/09/17 from 14.30 – 18.00 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Since the publication of the seminal work “The Comparative Method” by Charles Ragin in 1987, set-theoretic methods and especially Qualitative Comparative Analysis (QCA) have become a common research strategy in the social sciences. Set-theoretic methods analyse cases with regard to the identification of sufficient and necessary conditions and assume set relations to be equifinal, conjunctural and asymmetric. Not least since so-called fuzzy sets have been introduced to the method, there has been a rising interest in QCA as a welcome alternative to both small-n case studies and large-n statistical analyses. In short, QCA is recommended if ‘if…then’ hypotheses are analysed; if the goal is to derive sufficient and necessary conditions; if a comparison is planned; and if there is a mid-sized number of cases (between 10 and 60+).

The course offers a comprehensive introduction to QCA and is both conceptually and technically oriented. It starts off with an overview of the basics of set theory and demarcates QCA as a case-oriented method from both the quantitative and the interpretive-qualitative research paradigm. Through the notion of necessary and sufficient conditions and of truth tables, the single elements are built into the Truth Table Algorithm. However, this algorithm is not free of problems. Therefore, some pitfalls and strategies how to overcome them are presented. At the third day, the software tool fsQCA will be introduced and applied to published studies.

Requirement of students: No prior knowledge is required. We will use the software fsQCA2.5 which can be downloaded at www.fsqca.com.

Recommended literature and pre-readings:

• Cebotari, Victor, and Maarten P. Vink (2013). “A Configurational Analysis of Ethnic Protest in Europe.” In International Journal of Comparative Sociology, Vol. 54(4), 298-324.
• Emmenegger, Patrick. (2011). “Job Security Regulations in Western Democracies. A Fuzzy Set Analysis.” In European Journal of Political Research, Vol. 50(3), 336-64.
• Freitag, Markus, and Raphaela Schlicht (2009). “Educational Federalism in Germany. Foundations of Social Inequality in Education.” In Governance, Vol. 22(1), 47-72.
• Schneider, Carsten Q./Wagemann, Claudius, 2012. Set-Theoretic Methods for the Social Sciences. A Guide to Qualitative Comparative Analysis. Cambridge: Cambridge University Press.
• Ragin, Charles C., 2008. Redesigning Social Inquiry. Fuzzy Sets and Beyond. Chicago: University of Chicago Press.
• Goertz, Gary/Mahoney, James, 2012. A Tale of Two Cultures: Quantitative and Qualitative Research in the Social Sciences. Princeton: Princeton University Press.
• Buche, Antje, Jonas Buche, and Markus B. Siewert. “Fuzzy Logic or Fuzzy Application? A Response to Stockemer’s “Fuzzy Set or Fuzzy Logic?”” European Political Science 15(2): 359-378. (see also chapter 4 in Buche 2017).
• Buche, Jonas. 2017. “Assessing the Quality of Qualitative Comparative Analysis (QCA) – Evaluation, Improvement, Application”. Hannover: Leibniz Universität.
• Buche, Jonas. 2017b. “Europeanization of Legislative-executive Relations at the Micro Level – Under Which Conditions Do Swedish MPs Interact with Ministerial Officials?” COMPASSS Working Paper Series 2017-87 (see also chapter 6 in Buche 2017).
• Buche, Jonas, and Markus B. Siewert. 2015. “Qualitative Comparative Analysis (QCA) in der Soziologie – Perspektiven, Potentiale und Anwendungsbereiche.” Zeitschrift für Soziologie 44 (6):386-406 (see also chapter 2 in Buche 2017).

You have to register for the 11th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Jenny Gibb (The University of Waikato, New Zealand)

Date: Monday, 11/09/17 – Wednesday, 13/09/17 (09:00 – 12:30)

Max. number of participants: 15

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

All research is based on theory, but not all theory is based on research. If this claim is true, it is essential for every scholar to understand what theory is, what theory is not, which types of theory there are, how to skillfully apply, extend, build on and connect extant theories and even, how to develop a new theory. In this course, we will examine why this is the case and work to systematically build understanding on how to develop theory and conceptual contributions. In working on theory and conceptual paper development we intend to deepen participants’ appreciation of theory building and to assist them to craft potentially valuable and effective research papers. The course has a practical orientation in that it is application centred. It is not a philosophy of science course.

Requirement of students: None.

Recommended literature and pre-readings:

• Bettis, R. A., Gambardella, A., Helfat, C., & Mitchell, W. 2014. Theory in strategic management. Strategic Management Journal, 35(10): 1411-1413.
• Corley, K. G. & Gioia, D. A. 2011. Building Theory about Theory Building: What Constitutes a Theoretical Contribution? Academy of Management Review, 36(1): 12-32.
• Whetten, D. A. 1989. What Constitutes A Theoretical Contribution? Academy of Management Review, 14(4): 490-495.

You have to register for the 11th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Tom Töpfer (University of Bremen)

Date: Thursday, 14/09/17 (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 growing field of Social Network Analysis (SNA) is dominated by mathematical reasoning. In recent years, however, shortcomings in the adequate interpretation of social meaning and actor-focused questions have led to more qualitative approaches that are often combined with quantitative techniques in mixed-methods designs. This workshop gives an overview of qualitative approaches and methods used in studying social networks and discusses their advantages and disadvantages.

Combining foundations of qualitative research and network analysis, participants will get an insight into fundamental theoretical and methodological concepts. We will outline basic principles used in qualitative network research and illustrate objectives and questions that are applicable with a qualitative perspective. The workshop introduces techniques and methods for qualitative data collection and analysis. In addition, we will illustrate practical implications by using empirical studies from a variety of research fields.

The format of the workshop relies on presentations of the basic concepts, concrete examples from research practice, hands-on strategies and open discussion slots. The workshop also provides the possibility to present own research projects of the participants dealing with qualitative network analysis. Therefore, participants are encouraged to hand in qualitative network material from own empirical projects in advance, so that their work can be discussed in the workshop.

Requirement of students: None.

Recommended literature and pre-readings:

• Hollstein, Betina (2011): Qualitative Approaches. In: Scott, J. & Carrington, P. J. (Eds.). The SAGE Handbook of Social Network Analysis. London/New Delhi: SAGE Publications (pp. 404–417).

You have to register for the 11th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. David Richter (German Institute for Economic Research – DIW Berlin)

Date: Monday, 11/09/17 – Wednesday, 13/09/17 (09:00 – 12:30)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The course aims to provide 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.

Requirement of students: None.

Recommended literature and pre-readings: tba.

You have to register for the 11th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Martin Spiess (University of Hamburg)

Date: Thursday, 14/09/17 (09.30 – 18.00 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

If the missing information is selective with respect to the research question, then simply ignoring unobserved information or applying other ‘ad hoc’ methods usually leads to invalid inferences, i.e. to biased estimators or actual rejection rates of ‘true’ null hypotheses being too high. In this seminar, basics of the missing data problem and some techniques to compensate missing values are discussed. A main topic in the introductory part is the missing data mechanisms, i.e. the mechanism that led to the missing information. The way how to deal with the missing data problem such that scientifically interesting inferences are valid depends mainly on assumptions about this process. A particularly important question is whether the precise missing mechanism can be ignored in downstream analysis, or if it as to be modelled explicitly. In the second part, an overview of various approaches to deal with the missing data problem is given. Besides ‘ad-hoc’ techniques which often lead to invalid inferences, model-based approaches like maximum likelihood methods as well as weighting and imputation methods will be considered. Most of the latter methods assume that the missing mechanism is ignorable. However, we will also consider a simple approach to estimate a model based on a non-ignorable missing mechanism. The third part deals with one missing data technique in more detail: Multiple imputations to deal with missing items. The concepts are illustrated with the help of examples, the software used is R.

Requirement of students: Statistical knowledge on the master level of an applied science programme is required.

Recommended literature and pre-readings:

• Spiess, M. (2016). Dealing with missing values. In: C. Wolf, D. Joye, T.W. Smith and Y. Fu (Eds.), The SAGE Handbook of Survey Methodology (Chapter 37, pp. 595-610). Sage Publications: Thousand Oaks, CA.

You have to register for the 11th International Research Workshop to participate in this course.

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Kamil Marcinkiewicz (University of Hamburg)

Date: Monday, 11/09/17 – Wednesday, 13/09/17 (14.30 – 18.00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The case study research is frequently applied in the social sciences. It is particularly popular among political scientists, especially those specialising in area studies. The ubiquity of the case study research contrasts with the scarcity of theoretical reflection on its core methodological aspects. Also, the benefits of comparative analyses are often underestimated. In this course, participants will have an opportunity to learn more about what the case study research is, what are its weakness and strengths and how should we go about the core question in designing a case study: selection of cases. The course combines lectures with practical exercises and discussion of students’ projects.

Requirement of students: None.

Recommended literature and pre-readings:

• Gerring, J. (2007). Case Study Research: Principles and Practices (pp. 17-63). Cambridge: Cambridge University Press.
• George, A. L., & Bennett, A. (2005). Case Studies and Theory Development in the Social Sciences (pp. 1-34). Cambridge, MA: MIT Press.
• Rueschemeyer, D. (2003). Can One or a Few Cases Yield Theoretical Gains? In J. Mahoney and D. Rueschemeyer (Eds.), Comparative Historical Analysis in the Social Sciences (pp. 305-337) Cambridge: Cambridge University Press.
• Hall, P.A. (2008). Systematic Process Analysis: When and How to Use it. European Political Science, 7(3), 304-317.

You have to register for the 11th International Research Workshop to participate in this course.