sow964 - Advanced Social Research Methods (Vollständige Modulbeschreibung)

sow964 - Advanced Social Research Methods (Vollständige Modulbeschreibung)

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Modulbezeichnung Advanced Social Research Methods
Modulkürzel sow964
Kreditpunkte 6.0 KP
Workload 180 h
Einrichtungsverzeichnis Institut für Sozialwissenschaften
Verwendbarkeit des Moduls
  • Master Social Sciences (Master) > Wahlpflichtmodule
Zuständige Personen
  • Schnettler, Sebastian (Modulverantwortung)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)
Teilnahmevoraussetzungen
sow944 for courses with a quantitative focus; sow945 for classes with a focus on qualitative methods; and both sow944 and sow945 for clases with a focus on combining quantitative and qualitative methods in mixed methods designs.
Kompetenzziele
After successful completion of this module, students will have a solid understanding of the advanced social research methods offered in the particular class in this module. This will enable them to understand and critically engage with empirical research using advanced social research designs and methods. Also, students will be able to apply these advanced social research methods to their own empirical research projects. In most classes offered within this module, students will also obtain the necessary software skills to apply or assist the advanced methods taught in class.
Modulinhalte
After successful completion of this module, students will have a solid understanding of the advanced social research methods offered in the particular class in this module. This will enable them to understand and critically engage with empirical research using advanced social research designs and methods. Also, students will be able to apply these advanced social research methods to their own empirical research projects. In most classes offered within this module, students will also obtain the necessary software skills to apply or assist the advanced methods taught in class.
Literaturempfehlungen
  • Edlund, John E., und Austin Lee Nichols, Hrsg. 2019. Advanced research methods for the social and behavioral sciences. Cambridge, United Kingdom ; New York, NY: Cambridge University Press.
  • Healy, Kieran. 2019. Data visualization: a practical introduction. Princeton, NJ: Princeton University Press.
  • Huntington-Klein, Nick. 2022. The effect: an introduction to research design and causality. Boca Raton: CRC Press, Taylor & Francis Group.
  • Salganik, Matthew J. 2018. Bit by bit: social research in the digital age. Princeton: Princeton University Press.
  • Wickham, Hadley, und Garrett Grolemund. 2016. R for data science: import, tidy, transform, visualize, and model data. First edition, second release. Beijing Boston Farnham Sebastopol Tokyo: O’Reilly.    
Links
Unterrichtssprache Englisch
Dauer in Semestern 1 Semester
Angebotsrhythmus Modul Winter- oder Sommersemester (1., 2. oder 3. FS)
Aufnahmekapazität Modul unbegrenzt
Modulart Wahlpflicht / Elective
Modullevel MM (Mastermodul / Master module)
Lehrveranstaltungsform Kommentar SWS Angebotsrhythmus Workload Präsenz
Vorlesung -- 0
Seminar 25 SoSe oder WiSe 28
Arbeitsgruppe 2 SoSe oder WiSe 28
Präsenzzeit Modul insgesamt 56 h
Prüfung Prüfungszeiten Prüfungsform
Gesamtmodul
1 Portfolio consisting of
Short exam + take-home exercises or
Short exam + short research report of own data analytics project or
Take-home exercises + short research report of own data analytics project