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Einrichtungen >> Wissenschaftliche Einrichtungen der Universität >> Bamberg Graduate School of Social Sciences (BAGSS) >>

  S: MA/SM Qualitative Methods of Comparative Social Inquiry [Import]

Dozent/in
Prof. Dr. Ariadna Ripoll Servent

Angaben
Seminar
2 SWS, BAGSS PhD Kurs und MA Hauptseminar der Vergleichenden Politikwissenschaft
Zeit und Ort: Di 14:00 - 16:00, FG1/00.06

Voraussetzungen / Organisatorisches
BAGSS PhD Kurs und MA Hauptseminar der Vergleichenden Politikwissenschaft
Eligibility Requirements: The working language of this course is English. All coursework must be completed in English. Regular attendance and knowledge of the required readings will be expected.
MA students: To obtain a certificate, participants will have to give a presentation and a term paper (5000 to 6000 words – including title page, text, footnotes/endnotes, references, bibliography, annexes, etc.). Please note: The number of participants is limited. Student registration via FlexNow! is required. Submission of term paper deadline: 6 April 2015.

Inhalt
This seminar-based course offers a broad introduction to the field of qualitative methods from a comparative perspective and beyond. It aims to situate the use of qualitative methods in different research traditions with the aim to uncover their advantages and limitations. The course is divided in four parts: the first part investigates the meaning of qualitative methods and its links with particular ways to investigate and understand the social world; the second part concentrates on various methods to gather qualitative data; the third (and main part) looks at how primary and secondary qualitative data can be used and analysed. It discusses the importance of theory, causality and how they are linked to the way we interpret and present our data. The final part of the course deals with the assessment of qualitative data and methods – discussing the standards of validity, reliability and generalisability as well as broader questions of ethics in social science research

Englischsprachige Informationen:
Credits: 8

Zusätzliche Informationen
Erwartete Teilnehmerzahl: 24

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