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Last update: Mgr. Jakub Stauber, Ph.D. (05.02.2024)
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Last update: Mgr. Jakub Stauber, Ph.D. (05.02.2024)
The course aims to provide students with a substantive understanding of the covered concepts and statistical methods. The course should enable students to critically read academic research articles employing quantitative methods and to identify arguments made with the support of quantitative data. The emphasis will be placed on showing how research questions and hypotheses are answered/tested using statistical methods. Furthermore, the course aims to teach students the basics of R software and how to conduct the studied methods with this popular software. |
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Last update: Mgr. Jakub Stauber, Ph.D. (23.02.2024)
Weekly active participation 25% Participation does NOT only involve attending the seminar; rather, active participation includes involvement in the discussions, small groups and asking questions. R data.camp assignments 25% Short online courses covering the basics of quantitative methodology and R functions. Presentation 25% A structured presentation, approximately 10 minutes on a quantitative article of your choice. You can select your presentation date on the sign-up sheet in Moodle. Critique 25% A critique (DUE June 15th] of approximately 1000 words on a quantitative article of your choice. The critique is a written assessment of how concepts are presented, the framing and testing of the research question(s) and the author’s overall discussion of the findings.
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Last update: Mgr. Jakub Stauber, Ph.D. (05.02.2024)
Bryman, Alan. 2012. Social Research Methods. 4th ed. Oxford ; New York: Oxford University Press. Thulin, Måns. 2021. Modern Statistics with R. http://www.modernstatisticswithr.com/. Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. First edition. Sebastopol, CA: O’Reilly. |