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Lecturer(s)
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Šafaříková Simona, Mgr. Ph.D.
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Harmáček Jaromír, doc. Ing. Mgr. Ph.D.
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Dušková Lenka, Mgr. PhD.
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Course content
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unspecified
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook), Activating (Simulations, Games, Dramatization)
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Learning outcomes
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The main aim of the course is to introduce the students to qualitative and quantitative aspects of academic research. The qualitative part emphasizes the practical tasks focused on the practice of data collection methods, their analysis and coding, evaluation and presentation of results. The quantitative part of the course will focus on the practical teaching of statistical estimation, hypothesis testing and dependency analysis (correlation and regression analysis) using statistical software.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Written exam, Student performance
attendance, active participation in seminar, test
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Recommended literature
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Acock, A. C. (2023). Gentle Introduction to Stata. Revised 6rd edition. Stata Press.
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Agresti, A. (2017). Statistical Methods for the Social Sciences (5th edition). Pearson.
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Corbin, J., Strauss, A. (2015). Basics of Qualitative research (4th Edition). London: Sage.
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Flick, U. (2018). An Introduction to Qualitative Research. London: Sage.
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Gray, D.E. (2018). Doing Research in the Real World (4th Edition). London: Sage.
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Saldana, J. (2021). The Coding Manual for Qualitative Researchers. London: Sage.
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