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Lecturer(s)
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Course content
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Introduction to methods of research work Basic characterization of good realized quantitative research Analysis of dependens , its substance and methods Grafical and numeral descption of data Degree of dependence among phenomena during nominal measurement Analysis of dispersion Testing of hypothesis in scientific research Methods of multidimensional analysis Regression and correlation analysis Factor analysis
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Practical training, Blended learning
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Learning outcomes
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The aim of the course is to deepen knowledge in the field of quantitative research. Students will learn to observe and interpret statistical data and methods. They will learn to work with different data sources. They will gain skills in understanding big data and small data. A portion of the course will also be devoted to understanding statistical methods such as analysis of variance, dependence, categorical data, and multivariate analysis methods. The emphasis will be primarily on learning how to think statistically.
Acquiring a statistical way of thinking, applying multidimensional analysis, factor analysis
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Prerequisites
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Finish the subject Qualitative survey in sciences about human being
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Assessment methods and criteria
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Essay, Interim evaluation
- Regular attendance (70%) - Active participation in the seminar part - Submission of 4 written papers and a powerpoint presentation
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Recommended literature
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DISMAN, Miroslav. Jak se vyrábí sociologická znalost. 2002.
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Hendl. J a kol. Přehled statistických metod: analýza a meta-analýza dat. Praha, 2012.
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Chráska, M. Metody pedagogického výzkumu - základy kvantitativního výzkumu. Praha, 2016.
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Chráska, M. Metody pedagogického výzkumu - základy kvantitativního výzkumu. Praha, 2016.
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Mišovič, J. a kol. Od A do Z ve výzkumech veřejného mínění. Divišov, 2010.
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NOVOTNÁ et al. Metody výzkumu ve společenských vědách. Praha. 2019.
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