course-schedule

Introduction to statistics (Seminar)

Inhalt: Introduction to statistics

Promotionsstudium Fakultät Nachhaltigkeit / doctoral courses Faculty of Sustainabiliy - Promotionskolleg Nachhaltigkeitswissenschaft - Forschungsmethoden Nachhaltigkeitswissenschaften
Promotionsstudium Fakultät Kulturwissenschaften / doctoral courses Faculty of Humanities and Social Sciences - Promotionskolleg Wissenskulturen / Digitale Medien - Forschungsmethoden Wissenskulturen / Digitale Medien
Promotionsstudium Fakultät Kulturwissenschaften / doctoral courses Faculty of Humanities and Social Sciences - Promotionskolleg Stadt- und Kulturraumforschung - Forschungsmethoden Stadt- und Kulturraumforschung
Promotionsstudium Fakultät Kulturwissenschaften / doctoral courses Faculty of Humanities and Social Sciences - Promotionskolleg Soziologie und Kulturorganisation - Forschungsmethoden Soziologie und Kulturorganisation
Promotionsstudium Fakultät Kulturwissenschaften / doctoral courses Faculty of Humanities and Social Sciences - Promotionskolleg Philosophie, Literatur und Geschichte - Forschungsmethoden Philosophie, Literatur und Geschichte
Promotionsstudium Fakultät Kulturwissenschaften / doctoral courses Faculty of Humanities and Social Sciences - Promotionskolleg Darstellung Visualität Wissen - Forschungsmethoden Darstellung Visualität Wissen
Promotionsstudium Fakultät Bildung / doctoral courses Faculty of Education - Promotionskolleg Wissenschaften der Künste - Forschungsmethoden Wissenschaften der Künste
Promotionsstudium Fakultät Bildung / doctoral courses Faculty of Education - Promotionskolleg Unterrichtsforschung - Forschungsmethoden Unterrichtsforschung
Promotionsstudium Fakultät Bildung / doctoral courses Faculty of Education - Promotionskolleg Sozialpädagogik / Soziale Arbeit - Forschungsmethoden Sozialpädagogik / Soziale Arbeit
Promotionsstudium Fakultät Bildung / doctoral courses Faculty of Education - Promotionskolleg Psychologie und Selbstregulation - Forschungsmethoden Psychologie und Selbstregulation
Promotionsstudium Fakultät Bildung / doctoral courses Faculty of Education - Promotionskolleg Professionalisierungsforschung - Forschungsmethoden Professionalisierungsforschung
Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology - Promotionskolleg Wirtschaftspsychologie - Forschungsmethoden Wirtschaftspsychologie
Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology - Promotionskolleg Wirtschaftsinformatik - Forschungsmethoden Wirtschaftsinformatik
Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology - Promotionskolleg Technikwissenschaften - Forschungsmethoden Technikwissenschaften
Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology - Promotionskolleg Management, Accounting & Finance - Forschungsmethoden Management, Accounting & Finance
Promotionsstudium Fakultät Staatswissenschaften / doctoral courses School of Public Affairs - Promotionskolleg VWL - Forschungsmethoden Volkswirtschaftslehre
Promotionsstudium Fakultät Staatswissenschaften / doctoral courses School of Public Affairs - Promotionskolleg Politikwissenschaft - Forschungsmethoden Politikwissenschaft
Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology - Promotionskolleg Entrepreneurship, Management & Innovation - Forschungsmethoden Entrepreneurship, Management & Innovation

Programming of Economic Experiments in oTree (Seminar)

Dozent/in: Janina Kraus, Mario Mechtel

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

Promotionsstudium Fakultät Staatswissenschaften / doctoral courses School of Public Affairs - Promotionskolleg VWL - Forschungsmethoden Volkswirtschaftslehre

Qualitative Research Methods (Seminar)

Dozent/in: Markus Reihlen

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.

Course Schedule

Lehrveranstaltungen

Introduction to statistics (Seminar)

Programming of Economic Experiments in oTree (Seminar)

Qualitative Research Methods (Seminar)