Category Archives: Research Design

Reminder Inside the Editor’s Head: Publizieren in internationalen Fachjournalen

Institution: Helmut-Schmidt-University Hamburg

Lecturer: Dr. Florian Kühn, Institute for International Politics, Helmut Schmidt University Hamburg

Date: 24.11.2016, 14:00-17:00

Place: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043 Hamburg, Seminarraum 0105, Hauptgebäude H1

Language of instruction: Deutsch

Registration: Non-members of the Helmut-Schmidt-Universität may click here firstly to create an HSU-Ilias-account, and secondly here to join the course.

Contents:
Florian Kühn führt aus der Sicht eines Herausgebers einer internationalen Fachzeitschrift (Journal of Intervention and Statebuilding) in die Tücken, Fallstricke aber auch Praxis und Abläufe des Publishings ein. Wenn wir – womöglich zum ersten Mal? – vor der Frage stehen, wo und wie ein Aufsatz eingereicht werden kann und sollte, um angemessen berücksichtigt zu werden, aber auch eine Chance zu haben, einen Peer Review-Prozess zu überstehen, erscheint die Welt der Journal Publishings zunächst wie ein Buch mit sieben Siegeln. Dieser Workshop behandelt in drei Blöcken den Prozess einer Veröffentlichung (Welches Journal? Welcher Aufsatz? Wie präsentieren?). Aus der Sicht eines Herausgebers schildert Florian Kühn häufig gemacht Fehler und gibt Tipps, wie ein Aufsatz erfolgreich eingereicht werden kann, wie die Kommunikation zwischen Herausgebern und Einreichenden sowie zwischen Editorial Boards und Gutachtern verläuft, und wie sich die Chancen verbessern lassen, einen Aufsatz unterzubringen. Was kennzeichnet einen guten Aufsatz, wie präsentiere ich Forschungsergebnisse, welches Publikum spreche ich an, an welche bestehende Forschung knüpfe ich an (oder von welcher grenze ich meine Forschung ab), wie soll das Verhältnis zwischen Forschungsstand – Forschungsergebnissen – Desideraten sein, etc.? Je nach Interesse können Fragen zu Open Access, zu Indices, zu Zitationen und Impact-Berechnungen diskutiert werden.

Dr. Florian Kühn ist wissenschaftlicher Mitarbeiter am Institut für Internationale Politik an der HSU, hat Professuren an der Humboldt Universität zu Berlin und an der Otto-von-Guericke-Universität Magdeburg vertreten und ist seit 2013 Herausgeber von JISB.

Paper course: Audit market research and publication strategies

Institution: Fakultät für Betriebswirtschaft, Universität Hamburg

Course instructor: Professor Nicole Ratzinger-Sakel (UHH)

Dates: Block course: February 2017 (3 days): 22 February, 2017 – 24 February, 2017.
Time: 9 a.m. – 5 p.m.

Location: tba

Course Value: 2 SWS or 4 LP

Course Overview:
The main objectives of this PhD course include:
Introduce students to the main areas of empirical audit market research and discuss the main statistical approaches/models used to examine these areas. In addition, the course will enhance students’ ability to critically review the quality of research papers and will introduce students to the publication process. To do so, students are expected to present and critically discuss papers that will be assigned to the students. Students will further see real reviewers’ comments given during the review process of double-blind reviewed journals as well as the authors’ implementation of these comments. Finally, students should present their (first ideas of) own research ideas during the course.

Teaching language: English

Student evaluation: Presentation and critical discussion of assigned papers (papers will be assigned to students after their application; each student is expected to present and critically discuss one paper)

Application: Please send a short letter of motivation that includes your research interests and a current CV

until January 14, 2017
to nicole.ratzinger-sakel@uni-hamburg.de.

 

SDU: Theory Building and Conceptual Paper Development in Management and Organization Studies (15.09.-19.09.2015)

Time: Tue, Sep 15 – Sat, Sep 19, 2015

Location: University of Southern Denmark, Sønderborg, Denmark

Lecturers: Sascha Albers (U. Southern Denmark), Jennifer Gibb (U. Waikato)

Content:

Good research is based on sound theory. 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 new theory. Every PhD student will attempt to develop theory in at least one of the aforementioned ways. The key purpose of this course is to increase participant understanding on how to identify and read theories and to identify theory building preferences, as well as to apply nonempirical theory building techniques in management.

Registration deadline: June 11, 2015

Further information and registration: http://phdcourses.dk/Course/38356#.VWyUXqPJW-Q

Introduction to Network Analysis

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Andrea Knecht (Independent Researcher)

Date: Thursday, 01/10/15 (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 9th International Research Workshop to participate in this course.

Questionnaire Design

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Tanja Kunz & Anke Metzler (Darmstadt University of Technology)

Date: Tuesday, 29/09/15 (14:30 – 18:00) – Wednesday, 30/09/15 (09:00 – 18:00)

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. Special focus is on attitudinal and behavioral questions.

The course combines lectures with practical exercises. At the end of the course, participants will have comprehensive knowledge of the various aspects involved in designing and evaluating questionnaires.

Previous knowledge: Basic knowledge in quantitative social research methods

Recommended literature and pre-readings:

  • Dillman, D. A., Smith, J. D., & Christian, L. M. (2014). Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method. Hoboken, NJ: Wiley.
  • Tourangeau, R., Rips, L. J., & Rasinski, K. (2000). The Psychology of Survey Response. Cambridge University Press.

You have to register for the 9th International Research Workshop to participate in this course.

Case Study Research

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Kamil Marcinkiewicz (University of Hamburg)

Date: Tuesday, 29/09/15 (14:30 – 18:00) – Wednesday, 30/09/15 (09:00 – 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 specializing 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.

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 9th International Research Workshop to participate in this course.

Measuring Preferences using Conjoint Analytic Methods and Advanced Compositional Approaches

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Martin Meissner (University of Southern Denmark/Department of Environmental and Business Economics)

Date: Thursday, 01/10/15 (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 participants of this course develop a sound understanding of the benefits of using conjoint analytic preferences measurement approaches and alternative advanced compositional approaches. Participants gain practical experience of using conjoint-analytic methods, and developed a better understanding of the value of measuring preferences.

The course starts with introducing the basic concepts behind the measurement of stated preferences, specifically focusing on conjoint analysis. The most often used approaches, i.e. traditional conjoint analysis, adaptive conjoint analysis and choice-based conjoint analysis are introduced. We deliberate on advantages and disadvantages of the approaches and also discuss advanced compositional approaches, like pairwise-comparison based preference measurement and the adaptive self-explicated approach. During the workshop we will further talk about all the important stages of designing a preference measurement study. We pay special attention to the types of research questions that conjoint analysis can answer. We also discuss the most important questions you should answer before setting up your preference measurement/conjoint study: What is the optimal choice of attributes and attribute level? What is a good experimental design? How should I design my survey design and present potential choice scenarios? How do I analyze the results?

Participants will have the opportunity to use Sawtooth Software on their own laptops and build their own conjoint analysis survey during the course. Based on this experience, participants will be able to improve the planning of their own future experiments.

Recommended literature and pre-readings:

  • Bradlow, Eric T. (2005), “Current Issues and a ‘Wish List’ for Conjoint Analysis,” Applied Stochastic Models in Business and Industry, 21 (4-5), 319-323.
  • Hauser, John R. and Vithala Rao (2003), “Conjoint Analysis, Related Modeling, and Applications,” in Advances in Marketing Research: Progress and Prospects, in Marketing Research and Modeling: Progress and Prospects, Wind, Jerry and Paul Green (eds.), New York: Springer, 141-168.

You have to register for the 9th International Research Workshop to participate in this course.

Analyzing Panel and Spatial Data

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Nisar Ahmad & Assoc. Prof. Timo Friedel Mitze (University of Southern Denmark/Department of Border Region Studies)

Date: Tuesday, 29/09/15 (14:30 – 18:00) – Wednesday, 30/09/15 (09:00 – 18:00)

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) Analyzing 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.

Prerequisite: 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. Microeconometrics: Methods and Applications, 2005, Cambridge University Press, Chapter V

Part 2): Spatial Data Analysis

In research fields such as regional science, quantitative sociology and business analysis as well as real estate, labor 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 modeling 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 of 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 visualize the degree of spatial dependence for a variable under study are presented. Moving from univariate to multivariate modeling 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.

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

You have to register for the 9th International Research Workshop to participate in this course.

Universität Hamburg-Workshop: Philosophy of Science (1. Session: 07.09. – 09.09.15 /2. Session: 12.10. – 13.10.15)

Institution: University of Hamburg

Lecturer: Prof. Timothy M. Devinney (Leeds University Business School)

Date: September 07-09 & October 12-13, 2015

Place: University of Hamburg

Language of instruction: English

Registration: For further information on the registration process, please see this link.

Contents: Many variables of interest to social, political and behavioral scientists are non-contin

This course is concerned with the nature of social science inquiry. It is intended for students in  the  business  and  management  disciplines  and  those  early  in  their  masters and  doctoral research program. The course will take the form of a seminar. Students will be pre-assigned readings and will lead the discussion. The course is broken into four sections:

  1. an introductory overview to the philosophy of science,
  2. a review of epistemology (the nature and scope of knowledge),
  3. a review of ontology (the what can be said to exist), and
  4. specific applications to the major disciplinary areas.

For further information, please see this link.

Universität Hamburg-Workshop: The economics of biomedical innovation (02.06.2015)

Institution: University of Hamburg

Lecturer: Prof. Frank Lichtenberg, Professor of Business, Columbia University

Date: June 02, 2015

Place: University of Hamburg

Language of instruction: English

Registration: For further information on the registration process, please see this link.

Contents: There is considerable debate about the social returns to biomedical research and innovation. The primary purpose of this course is to discuss econometric methods for evaluating the overall impact of biomedical innovation — much of which is embodied in new products and procedures — on longevity and health. We will consider analyses based upon a variety of research designs, medical innovation measures, health outcome measures, and populations. We will also analyze the impact of various public policies on biomedical innovation.

For further information, please see this link.