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Foto: Matthias Friel

Experiments in Public Administration and Management - Einzelansicht

Veranstaltungsart Projektseminar Veranstaltungsnummer
SWS 4 Semester SoSe 2023
Einrichtung Wirtschaftswissenschaften   Sprache englisch
Belegungsfrist 03.04.2023 - 10.05.2023

Belegung über PULS
Gruppe 1:
     jetzt belegen / abmelden
    Tag Zeit Rhythmus Dauer Raum Lehrperson Ausfall-/Ausweichtermine Max. Teilnehmer/-innen
Einzeltermine anzeigen
Seminar Di 14:00 bis 16:00 wöchentlich 18.04.2023 bis 25.07.2023  3.07.1.44 Drathschmidt   25
Kommentar

"It is, of course, the way of all things. You see, there is only one constant, one universal, it is the only real truth: causality. Action – reaction; cause – and effect."
Merovingian - The Matrix Reloaded

Experiments have been gradually included in the methodical canon of public administration and management studies. Nevertheless, this trend has been neglected in education and training of university even though experiments are perceived as the best way to analyse causalities.

This course aims to give a basic understanding of the experimental methodology, quantitative methods, differences between the diverse types of experiments along with their implementations in order to recognise and conduct good experiments as well as to distinguish them from poor ones. Participants will be able to design a research plan for an experimental study as well as work with real datasets from experimental research. The number of participants will be restricted up to 20 students.

Voraussetzungen

It is strongly recommended to acquire basic knowledge on inferential statistics as well as basic skills in STATA or R beforehand.

Leistungsnachweis

Course requirements:

  • weekly assignments (to get a pass/fail)
  • term paper (only for a graded participation)
Lerninhalte

Students will be able to ...

  • gain basic knowledge on different approaches of experimental methodology.
  • distinguish different types of experiments.
  • reflect on experimental studies critically.
  • discuss old and current practices of publication.
  • develop experimental designs for different issues.
  • replicate statistical analyses of experimental data.

Strukturbaum
Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester SoSe 2023 , Aktuelles Semester: SoSe 2024