Category Archives: Quantitative Methods

Fortgeschrittenenkurs quantitative Datenanalyse mit SPSS – HSU Uni Bw Hamburg

Fortgeschrittenenkurs quantitative Datenanalyse mit SPSS


Ausgewählte multivariate Verfahren zur Datenanalyse bzw. zur Konstruktion von Skalen, insbesondere: Itemanalyse (vor allem Konstruktion von Likert-Skalen), Varianzanalysen, Einfache und Multiple Regressionsanalyse, Logistische Regression.


Frau Dr. Elke Goltz (HSU)


Montag,             15.11.21 – 10:00 bis 17:00 Uhr

Dienstag,           16.11.21 – 10:00 bis 15:00 Uhr

Mittwoch,          17.11.21 – 10:00 bis 15:00 Uhr

Donnerstag,      18.11.21 – 10:00 bis 13:00 Uhr

Der Montag sowie der Donnerstag sind Präsenzveranstaltungen auf dem Campus der Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg im Raum 305. Der Dienstag und der Mittwoch werden virtuell über MS Teams abgewickelt.

Die Zahl der Teilnehmenden ist auf 15 begrenzt. Es sind derzeit (Stand: 21.10.) noch Plätze frei.

Die Teilnehmenden brauchen einen eigenen PC mit installiertem SPSS 25 oder SPSS 27.


Wenn Sie sich für diesen Kurs interessieren,schicken Sie bitte eine Email an


VHB ProDok Kurs in Kooperation mit ASSIOA

Advanced Topics in Management and Organization Theory

Content and Learning Objectives:
This course is centered on broad topics related to social evaluation, from categorization to status, stigma, boundary work, moral legitimacy and inequality in organizations. The material ranges from ‘recent classics’, to papers fresh from print, to unpublished empirical cases.
Students will be asked to prepare in advance in order to present the main themes of the assigned literature and discuss empirical material with a hands on approach.

Learning objectives:

  • Exposure to advanced and emerging themes (and their established roots) in the field of management and organization
  • Understanding the broad variety of methods (inductive, deductive and abductive) used in the field in a complementary way
  • Learning different abductive methods and Dos and Don’ts in abductive theorizing

You can find more information ON REGISTRATION and the Syllabus at the following link: 

The billing of the course will also be done by ASSIOA.

Registration Fee

Assioa or VHB members: 500 Euro
Non Assioa or VHB members: 560 Euro

VHB ProDok Kurs “Design Science”

Design Science

Abstract and Learning Objectives

Design Science Research (DSR) is a promising research paradigm that intends to generate knowledge on the design of innovative solutions to real-world problems. As such, DSR is specifically useful in contributing to the solution of societally and practically relevant challenges. At the same time, matured methodological foundations are available today, specifically supporting publishing DSR research both at conferences and top-tier journals.

This course gives an introduction to Design Science Research (DSR). It focuses on planning and conducting design science research on Ph.D. level. It is intended to provide state-of-the art methodological competences for all Ph.D. students in business whose research is not solely descriptive/explanatory, but also comprises components where artefacts are purposefully designed and evaluated.

While Design Science Research is very common in Information Systems research, purposeful artefact design and evaluation are found in many other business research fields like, e.g., General Management, Operations Management/Management Science, Accounting/Controlling, Business Education, or Marketing. Although Design Science is often conducted implicitly, the methodological discourse in the Information Systems has led to a high level of reflection and to the availability of a large number of reference publications and cases, so that examples and cases will often originate from this domain. It should however be noted that Design Science as a paradigm is applicable and is used in nearly all fields of business research. As a consequence, this class is not only part of the Information Systems ProDok curriculum, but intentionally being positioned as cross-domain class.

The goal of the course is to provide Ph.D. students with insights and capabilities that enable them to plan and conduct independent Design Science research. To achieve this goal, students will engage in a number of activities in preparation and during this four-day course, including preparatory readings, lectures, presentations, project work, and in-class discussions. The course format offers an interactive learning experience and the unique opportunity to obtain individualized feedback from leading IS researchers as well as develop preliminary research designs for their own Ph.D. projects.


20.9. bis 30.09.2021
face to face time: Mo, Tue, Fr, Tue, Thu


offline and online





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or email us:

As this course is offered as an digital course, the participation fee is reduced by 160 Euro.

Registration Deadline: August 22, 2021

VHB ProDok-Kurs “Empirical Corporate Finance”

Empirical Corporate Finance

The course is intended as an introduction to research in empirical corporate finance and covers both corporate finance topics as well as methods with a strong emphasis on endogeneity and identification. The general objective of the course is to present some of the most influential work in corporate finance. We will put a particular emphasis on current research, which uses state-of–the–art empirical methods. This course will provide students with a toolbox and working knowledge of cross-sectional and panel data empirical methods for use in corporate finance research. The course also aims to encourage students to explore interesting research questions in corporate finance. Finally, students will learn how to think about empirical research (questions) critically.

Date of event:

September 3 – September 6, 2021


University of Münster
School of Business and Economics
Universitätsstr. 14- 16
48143 Münster

Note that part of the course or the entire course may switch to an online class in case the coronavirus situation does not allow physical classes or if travel restrictions apply.


Prof. Dr. Christoph Schneider

University of Münster


Prof. Dr. Markus Schmid

Universität St. Gallen


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or email us:

Registration Deadline: August 1, 2021

VHB ProDok-Kurs “Longitudinal Data Analysis: Event History Models”

Longitudinal Data Analysis: Event History Models

The life course of organizations as well as individuals is characterized by a succession of important events. Organizations change their strategies, their structure, their leadership etc. and might cease to exist at some point in time. Individuals move from one job to another, climb up the career ladder, or get fired. These events indicate transitions from a certain origin state, e.g. an organization before a change of the CEO, to a certain destination state, here: the same organization with a new CEO. The best empirical tool for the analysis of these transitions are techniques of event history analysis. These methods, which belong to the wider class of longitudinal data analysis, are tremendously important in management research. An impressive amount of studies in this field addresses research questions, which are related to transitions from one state to another one.

This course aims at providing students with the most relevant techniques of event history analysis. At the end of this course, students should be able to understand the theoretical concepts of event history analysis as well as to apply these methods by themselves.


September 7-10, 2021


vorausichtlich München




Prof. Dr. Nikolaus Beck
Università della Svizzera Italiana


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or email us:

Registration Deadline: 2. August 2021

VHB ProDok-Kurs Quantitative and Qualitative Content Analysis

Quantitative and Qualitative Content Analysis

This course addresses young scientists of business administration who want to use quantitative or qualitative content analysis in their research. The main objective of this course is to provide participants with methodological basics and further knowledge in content analysis. After attending the course, the participants are able to:

  • identify research questions that are suitable for qualitative and quantitative content analysis;
  • understand the methodical approach of data collection and -analysis of quantitative and qualitative content analysis as well as transfer it for individual research projects;
  • identify, analyze, and deal with core problems during the planning, implementation, analysis and paper writing phase;
  • assess the quality of content analysis based on quality characteristics.


August 30-31 and September 06-07, 2021






Prof. Dr. Josip Kotlar (Politecnico di Milano School of Management, Italy)


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Registration deadline: August 1, 2021

VHB ProDok Kurs “Choice-Based Optimization”

Choice-Based Optimization

Date: 19.07.-22.07.2021

Demand is an important quantity in many optimization problems such as revenue management and supply chain management. Demand usually depends on “supply” (price and availability of products, f. e.), which in turn is decided on in the optimization model. Hence, demand is endogenous to the optimization problem. Choice-based optimization (CBO) merges discrete choice models with math programs. Discrete choice models (DCM) have been applied by both practitioners and researchers for more than four decades in various fields. DCM describe the choice probabilities of individuals selecting an alternative from a set of available alternatives. CBO determines (i) the availability of the alternatives and/or (ii) the attributes of the alternatives, i.e., the decision variables determine the availability of alternatives and/or the shape of the attributes. We present CBO applications to location planning, supply chain management, assortment and revenue management.

Course Content:

Students will learn how to develop and use predictive models (discrete choice models) in the software R and how to introduce such models in mathematical models for decision-making (i.e., mixed integer programs) to consider demand as an auxiliary variable. The models will be implemented in a modeling environment (GAMS). Case studies will be used for practicing purposes.


The course will be held online only. The lecturers will give presentations about the theoretical contents. Active participation is compulsory.


Univ.-Prof. Dr. habil. Knut Haase
Universität Hamburg

Univ.-Prof. Dr. habil. Sven Müller

Otto-von-Guericke-Universität Magdeburg


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Registration Deadline: 20. Juni 2021

VHB ProDok Kurs “Marketing Strategy Performance: Theory, Models, and Empirical Applications”

Marketing Strategy Performance: Theory, Models and Empirical Applications

Date: 05.-08.07.2021

Against the background of increasing pressure from the capital market and major corporate trends such as digitization, marketing managers are more and more forced to demonstrate the performance and value relevance of their decisions. Marketing scholars have responded to this development and produced numerous articles that relate marketing decisions with the creation of market-based assets (e.g. customer satisfaction), product-market performance (e.g., market share), accounting performance (e.g., return on assets), and financial-market performance (e.g., stock returns). The course aims at providing an overview of this literature, both from a conceptual/model-based perspective and from an empirical point of view. After having attended the course, students should be able to:

  • Understand central concepts of marketing strategy performance research and be able to establish links between these concepts;
  • Understand the basics of market response modeling and recognize the relevance of model specification for the validity of empirical estimation results;
  • Understand, categorize, and criticize high-quality (“A+”) articles within the research field;
  • Know key data analysis methods within the research field including their scope of application as well as their limitations and conduct first own analyses using standard software (R);
  • Develop relevant and interesting research questions with a potential for a high-quality publication.




Prof. Dr. Marc Fischer (Universität zu Köln)
Dr. Alexander Edeling (Universität zu Köln)
Prof. Dr. Simone Wies (Goethe Universität Frankfurt am Main)

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or email us:

As this course is offered as an digital course, the participation fee is reduced by 160 Euro.

Registration Deadline: June 6th, 2021

Promotionsstudiengangskurse der Universität Hamburg / Fakultät für Wirtschafts- und Sozialwissenschaften / Graduate School

Promotionsstudiengangskurse im  Sommersemester 2021

Die Fakultät für Wirtschafts- und Sozialwissenschaften der Universität Hamburg bietet auch im kommenden Sommersemester 2021 wieder eine Vielzahl interessanter Kurse an. Nähere Details zu Kursen, Anmeldungen und Terminen entnehmen Sie bitte dem beigefügten Link.


HSU – Einführung in die quantitative Datenanalyse mit SPSS

Workshop zur Einführung in die quantitative Datenanalyse mit SPSS (Version 24/25)


Wie lassen sich erhobene Daten zielführend auswerten? In der Veranstaltung werden grundlegende Kenntnisse zu Statistiksoftware SPSS vermittelt. Im Vordergrund stehen dabei die Programmoberfläche und einfache Auswertungsverfahren der Deskriptiv- und Inferenzstatistik.

Die Veranstaltung ist so konzipiert, dass die Teilnehmerinnen und Teilnehmer am Ende des Kurses mit folgenden Inhalten sicher umgehen können:

  • Erstellung von Datenmasken und Dateneingabe
  • Uni- und bivariate deskriptive Statistik
  • Zusammenhangs- und Unterschiedsmessungen; Signifikanztests
  • Durchführung von Berechnungen; z.B. Erzeugung neuer Variablen, etwa Indizes
  • Verknüpfung von Dateien (Quer- und Längsschnitt)

Darüber hinaus können nach Absprache und zeitlichen Ressourcen gern weitere Themen mit der Dozentin behandelt bzw. individuelle Fragestellungen besprochen werden.


keine, von Vorteil wären jedoch Grundkenntnisse zu statistischen Kennziffern (etwa Mittelwerte, Streuungsmaße)



Dr. Elke Goltz, HSU


13.04.21 bis zum 16.04.21 – jeweils von 9:30 bis 14:30 Uhr


Online via MS Teams; Einloggdaten werden nach Schließung der TN-Liste verschickt.


maximal 10


Für Mitglieder der HSU erfolgt der direkte Kursbeitritt ab sofort unter diesem Link:


Wer nicht Angehöriger der Helmut-Schmidt-Universität ist, schickt bitte eine Mail an mit der Bitte um Teilnahme.