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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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1. Research project and design, ethics, sample selection 2. Qualitative research - methods of data collection, methods of analysis, participatory research, work with ATLAS.ti software 3. Quantitative research - repetition (descriptive statistics, probability distribution), statistical estimates, hypothesis tests, dependency analysis (correlation and regression analysis) by using statistical software STATA
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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 aim of the course is to deepen students knowledge and skills in the field of qualitative and quantitative research. The qualitative part will focus on the practical tasks - practice of data collection methods, their analysis and coding, evaluation and presentation of results. The quantitative part of the course will focus on statistical estimation, hypothesis testing and dependency analysis (correlation and regression analysis) by 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, written test
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Recommended literature
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Agresti, A., Finlay, B. (2008). Statistical methods for the social sciences. Upper Saddle River, N. J.: Prentice Hall.
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Desai, V., Potter, R. (2006). Doing development research. Sage Publications.
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FLICK, U.:. An Introduction to Qualitative Reserach. London: SAGE Publications, 2009..
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Kohler, U. Kreuter, F. (2012). Data Analysis Using Stata. 3rd edition. Stata Press.
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Laws, S., Harper, C., Marcus, R. (2003). Research for Development. London: Sage.
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Silverman, D. (2010). Doing Qualitative Research: A Practical Handbook. Sage Publications Ltd.
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