Category Archives: Quantitative Methods

VHB ProDok Kurs

Advanced Topics and Experimental Methods in Consumer Research

This course provides an overview of research and theories in consumer behavior. The topics covered in this seminar should be of interest to doctoral students studying Business, Psychology, Organization Behavior, and Marketing.

The course has two major goals:

  1. To expose students to research in specific areas of consumer research and marketing and to familiarize them with findings in these areas. These broad areas are emotions, sustainable consumer behavior, and human-computer interactions.
  2. To equip students with abilities to conceptualize, design and implement original consumer behavior research.

Students will read a set of core readings in order to gain knowledge of the relevant theoretical foundations, methodological norms, and most recent findings. We will discuss papers published in top journals in consumer behavior, marketing, management, psychology, and economics. One of the best ways for doctoral candidates to understand a research area is to critically review articles describing research in that area. The course will challenge students to adopt a critical stance when reading papers. This approach provides a deeper understanding of specific issues, a better appreciation of the research process, and training in research skills. During the discussion of the key articles on each topic, students will be challenged to review these articles. The class discussion will evaluate the articles and the reviews.

Students will learn to identify gaps in the literature or to apply a research problem to unexplored related phenomena.

Moreover, the second aim of this course is that students develop their own actionable research question and methodological plan. For this, they will be able to collect first data in the lab (BreLab) for their idea(s) (if physical course is possible), with the group and recruited students serving as participants in the respective experiments (otherwise: online data collection). Students will present their idea and potential results and give one another feedback on these ideas.

After completing this course, students will be able to define research questions in various domains of consumer behavior and in different empirical settings, they will know how to implement their research questions into an actionable experimental design, and they will be aware of potential problems and (dis)advantages in their research design

Date:

12 – 15. September 2022

 

Location:

Bremen

Language:

English

 

Lecturer:

Prof. Dr. Kristina Klein

University of Bremen

 

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

 

Registration Deadline: 14. August 2022

Syllabus:

VHB ProDok Kurs

Ethnographic Research

The course is designed for doctorate students in business administration who want to learn about and conduct ethnographic research. The aim of the course is to provide students with methodological foundations and advanced knowledge on ethnographic research in business studies. After attending this course, participants should be able to

  • understand the methodological foundations of ethnographic research
  • differentiate between different approaches to ethnography and be able to assess their strengths and weaknesses
  • plan an ethnographic research design as well as be prepared for methodological challenges in their field research
  • understand ways of analyzing ethnographic data and judge ethnographic research according to quality criteria

 

Date:

September 12 – 15, 2022

 

Location:

Harnack-Haus Berlin

Course Language:

English

Lecturers:

Prof. Dr. Jana Costas,
Europa-Universität Viadrina Frankfurt (Oder)

Prof. Damian O’Doherty

Prof. Dan Kärreman,

Copenhagen Business School

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

 

Registration Deadline: August 14, 2022

VHB ProDok Kurs

Quantitative Empirical Accounting Research and Open Science Methods

This course focuses on quantitative empirical accounting research, covering theoretical, methodological and technical aspects of this research program. It also introduces students to the concepts of Open Science. In terms of applications, it concentrates on financial accounting issues but also touches on some managerial and auditing topics. After this course, participants should

  • have a clear understanding about the theoretical foundations of quantitative empirical accounting research,
  • know the methodological approaches to and common pitfalls of empirical research designs,
  • have become familiar with a collaborative open science workflow using R/Python/Stata and Github,
  • know how to execute empirical archival studies, including the usability and inter-operability of different data source
  • and, based on their own research proposal, have received constructive feedback on how to design and execute a viable study in the area of quantitative empirical financial accounting research.

 

Date:

Online: 06.09.22, 09.09.22, 13.09.22, 16.09.22, all slots 9am – noon
In person (Berlin): 05.10.22 noon -07.10.22 noon

 

Location:

Online and in person

 

Course Language:

English

Lecturer:

Prof. Dr. Joachim Gassen (Humboldt-Universität zu Berlin, TRR 266 „Accounting for Transparency“)

http://www.wiwi.hu-berlin.de/professuren/bwl/rwuwp/staff/gassen

gassen@wiwi.hu-berlin.de

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Participation fee:

Non-member: 610,00 Euro
VHB-member: 490,00 Euro

Registration Deadline: 7. August 2022

VHB ProDok Kurs

Endogeneity in Applied Empirical Research

Many empirical research projects in business and economics that use non-experimental data struggle with the proper identification of causal effects of independent variables (e.g., price, management decisions) on dependent variables (e.g., demand, firm performance). The reason is that the identification of a causal effect hinges on the untestable assumption that the error term of a model is uncorrelated with the independent variables. If this assumption is not met, a model is plagued by endogeneity.

The topic of endogeneity has received considerable attention, and it is probably the most frequently encountered troublemaker in a review process at an academic journal.

This course therefore has the goal of making students familiar with the problem of endogeneity and potential remedies. This implies that it will cover the opportunities and problems associated with traditional approaches (e.g., Instrumental Variable estimation, Matching, Difference-in-Difference) as well as more recent developments (e.g., Gaussian Copulas; Machine Learning and Causal Inference; Synthetic Control Methods; Directed Acyclical Graphs (DAG)). The course will also cover how the data structure (e.g., panel data) can be utilized to address the problem.

Because the literature on endogeneity is often quite technical, this course aims at providing an easily accessible approach to this topic. Special emphasis will also be given to understanding when endogeneity indeed poses a real problem as compared to settings in which endogeneity is less likely to be a real threat to the validity of the findings.

After completing this course, students will be able to define and describe endogeneity problems in different empirical settings, they will have a better understanding of whether and when causal identification is possible how to implement techniques that address endogeneity, and they will be aware of the (dis)advantages of different methods.

 

Date:

7.9.2022 online and 14.-16.9.2022 face-to-face

 

Location:

Online & University of Tübingen

 

Language:

English

 

Lecturer:

Prof. Dr. Dominik Papies

Universität Tübingen

 

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

Participation fee:

Non-member: 650,00 Euro
VHB-member: 530,00 Euro

Registration deadline: August 7, 2022

Gastvortrag Forschungsdatenzentrum: Betriebs- und Organisationsdaten und die Möglichkeiten der Archivierung qualitativer Daten/HSU Hamburg

Im Rahmen einer Vortragsreihe des Forschungsclusters OPAL der Helmut-Schmidt-Universität Hamburg/Universität der Bundeswehr wird folgender Gastvortrag angekündigt:

Vortragender: Tobias Gebel, Wissenschaftlicher Mitarbeiter in der Abteilung Forschungsinfrastruktur des DIW Berlin

Vortragstitel: „Das Forschungsdatenzentrum: Betriebs- und Organisationsdaten und die Möglichkeiten der Archivierung qualitativer Daten“

Datum des Vortrags:  25. April 2022 um 18:00 – 19:30 Uhr

Der Vortrag findet im hybriden Format statt. Für Zugangsinformationen schreiben Sie eine Email an meisterc@hsu-hh.de.

ZBW – Leibniz Informationszentrum Wirtschaft

Digitaler Workshop „Gute Wissenschaftliche Praxis und Reproduzierbare Forschung mit STATA“

Im Workshop zeigen wir, wie Analysecodes und Daten reproduzierbar und entsprechend den Richtlinien renommierter Journals aufbereitet werden. Wir geben einen Überblick über die Anforderungen der wichtigsten Drittmittelgeber, Fachzeitschriften und Fachgesellschaften in den Wirtschaftswissenschaften.

Datum:

22. März 2022 von 10:00-15:00 Uhr

Anmerkung:

Der Kurs ist bereits seit dem 8.3.22 ausgebucht. Interessenten können sich aber trotzdem noch auf eine Warteliste setzen lassen und ggf. nachrücken, falls andere Teilnehmer ausfallen sollten.

Adressatenkreis:

Der Workshop richtet sich vorrangig an Master-Studierende und Promovierende der Wirtschaftswissenschaften, die am Anfang ihrer Dissertation stehen, mit quantitativen Daten arbeiten und STATA als Statistiksoftware nutzen. Teilnehmende sollten deshalb Kenntnisse von Statistik/Ökonometrie und Erfahrungen im Umgang mit einer Statistiksoftware haben.

Die Teilnehmerzahl ist auf 30 Personen begrenzt, um allen Teilnehmenden ausreichend Möglichkeit für Fragen und zur Diskussion der Themen zu ermöglichen.

Die Teilnahme ist kostenlos.

Anmeldung:

Bitte über die Webseite der ZBW:

https://www.zbw.eu/de/ueber-uns/veranstaltungen/stata-digital-3

VHB ProDok Kurs

 

Advanced Topics in Asset Pricing and Capital Market Research

Starting from a solid theoretical foundation, this course provides students with an understanding of important empirical methods and their application in asset pricing. It covers both the classical approaches based on Fama and MacBeth (1973) and Black, Jensen and Scholes (1972) – which are still widely used in current research – and GMM-based estimation methods. Furthermore, it shows how machine learning approaches can be meaningfully incorporated into modern asset pricing.

The course intends to enable students to plan and carry out empirical research in asset pricing on their own and prepares for an empirical PhD thesis in this area of finance.

Date:

30. May – 2. June 2022

Location:

MLP Campus
Alte Heerstraße 40
69168 Wiesloch

Language:

English

Lecturers:

Prof. Dr. Joachim Grammig

University of Tübingen

Prof. Dr. Erik Theissen

University of Mannheim

Dr. Jantje Sönksen

University of Tübingen

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Registration Deadline: 1. May 2022

 

VHB ProDok Kurs

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.

Date:

02.05. bis 13.05.2022

Face to face time: Mo, Wed, Mo, Wed, Fr

Location:

DIGITAL COURSE
offline: ca. ten days for reading, preparation, decentral group work
online: two full days and three half days between May 2 – 13, 2022

Language:

English

Instructor:

Registration:

Click for information on fees, payment and registration.
or email us: prodok@vhbonline.org.

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

Registration Deadline: April 3, 2022

Fortgeschrittenenkurs quantitative Datenanalyse mit SPSS – HSU Uni Bw Hamburg

Fortgeschrittenenkurs quantitative Datenanalyse mit SPSS

Inhalt:

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.

Lehrende:

Frau Dr. Elke Goltz (HSU)

Termine:

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.

Anmeldung:

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

meisterc@hsu-hh.de