Course Schedule


Lehrveranstaltungen

Introduction to statistics (Seminar)

Dozent/in: Henrik Wehrden

Termin:
Einzeltermin | Mo, 11.09.2023, 08:30 - Mo, 11.09.2023, 17:30 | C 40.606
Einzeltermin | Di, 12.09.2023, 08:30 - Di, 12.09.2023, 17:30 | C 40.501
Einzeltermin | Mi, 13.09.2023, 08:30 - Mi, 13.09.2023, 17:30 | C 40.606

Inhalt: Introduction to statistics

Programming of Economic Experiments in oTree (Seminar)

Dozent/in: Janina Kraus, Mario Mechtel

Termin:
Einzeltermin | Mi, 30.08.2023, 15:00 - Mi, 30.08.2023, 15:00 | extern | Auftakt in Präsenz in Clausthal
Einzeltermin | Fr, 08.09.2023, 09:00 - Fr, 08.09.2023, 12:30 | Online-Veranstaltung | Online
Einzeltermin | Fr, 15.09.2023, 09:00 - Fr, 15.09.2023, 12:30 | Online-Veranstaltung | Online
Einzeltermin | Fr, 29.09.2023, 09:00 - Fr, 29.09.2023, 12:30 | Online-Veranstaltung | Online
Einzeltermin | Fr, 06.10.2023, 09:00 - Fr, 06.10.2023, 12:30 | Online-Veranstaltung | Online
Einzeltermin | Fr, 13.10.2023, 09:00 - Fr, 13.10.2023, 12:30 | Online-Veranstaltung | Online
Einzeltermin | Fr, 10.11.2023, 12:30 - Fr, 10.11.2023, 15:00 | C 14.102a

Inhalt: - Programmierung verschiedener Standardexperimente der experimentellen Verhaltens-ökonomik, wie Diktatorspiel, öffentliches Gut Spiel und Gefangenendilemma - Basisfunktionen einbauen: o Payoff berechnen o Einbinden der Instruktionen o Timer und Timeout Funktionen o Fragebogen - Umsetzung zahlreicher (weiterführender) Features, wie bspw.: o Verschiedene Gruppen-Matchings o Live Pages o Chat o Automatisiertes Testen und Server Setup - Darstellung in html und css optimieren - Eigene Experimente programmieren

Qualitative Research Methods (Seminar)

Dozent/in: Markus Reihlen

Termin:
Einzeltermin | Di, 05.09.2023, 09:00 - Di, 12.09.2023, 17:00 | C 6.026
Einzeltermin | Mi, 06.09.2023, 09:00 - Mi, 13.09.2023, 17:00 | C 6.026
Einzeltermin | Do, 07.09.2023, 09:00 - Do, 14.09.2023, 17:00 | C 6.026

Inhalt: Qualitative research is a research strategy that emphasizes large bodies of unstructured data (textual, graphical, audio, and video data) that cannot be meaningfully analyzed by formal, statistical approaches. Despite differences, qualitative research approaches share at least the following two assumptions: (1) by systematically generating and analyzing data new theory can be discovered (inductive view), and (2) this theory stresses the understanding of the socio-economic world through an examination of interpretation of that world by its participants. Since each particular research method is informed by different philosophical traditions, this course will first introduce different perspectives on the socio-economic research process like positivism, interpretativism, realism, and postmodernism. Students will then learn how to set up a qualitative research project with particular emphasis on the case study approach. Case studies offer rich, empirical descriptions of particular examples of a phenomenon that are typically based on a variety of data sources. The case-study method involves using one or more cases to create case-based, empirical evidence used for a subsequent theory building. In order to build theory from case study data, students will be made familiar with the grounded theory, which is a general method of comparative analysis for qualitative data. The idea of the grounded theory is to develop theoretical categories, propositions, and mid-range theories based on a particular inductive method for qualitative data analysis. This data analysis is greatly supported by different software packages. While the course will provide an overview of existing software programs, students will be introduced in particular to the Atlas.ti platform. The course is designed as a doctorate workshop. Throughout the course, initiative, creativity, and critical thinking on part of the students will be appreciated and encouraged.