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Lecturer(s)
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Záhorová Věra, Mgr. Ph.D.
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Holá Jana, doc. Ing. Ph.D.
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Course content
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Scientific research - methods of acquiring human knowledge, quantitative and qualitative research, after-the-fact research and experiments. Data collection methods - observation, questionnaire, interview, tests, sociometry, semantic differential, Q-methodology. Statistical data processing, types of variables and their basic processing. Probability, population, selection. Descriptive statistics, measure of position, extent of variability, range of skewness and kurtosis, exploratory data analysis methods, normal distribution. Statistical methods used with hypothesis testing - factual and statistical hypothesis in research, statistical and clinical significance. Statistical tests for data analysis, parametric and non- parametric tests. Data collection methods - questionnaire, observation forms, sociograms, coloured semantic differential. Data processing methods I - organizing data in tables, graphic methods - using software for data processing. Data processing methods II - measures of position, extent of variability, range of skewness and kurtosis, exploratory data analysis methods, normal distribution - capacities of statistical tools EXCELL, ADSTAT, Statistica. Statistical methods used with hypothesis testing - factual and statistical hypothesis in research, statistical tests for numeric and nominal data analysis - capacities of statistical tools EXCELL, ADSTAT, Statistica.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Demonstration, Skills training
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Learning outcomes
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The aim of the subject is to acquaint students with fundamental terms in the field of scientific research methodology, data processing and basic methods used in statistical surveys in social science, and choice and utilization of appropriate method for students' own research in their bachelor thesis. Statistical data processing options, statistical evaluation and interpretation, processing and presentation with the option of use of available software.
Student will be able to apply acquired knowledge outlined in the syllabus.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Written examination
Mandatory attendance of 80 per cent in lectures and seminars. Processing of fictional research focused on the field of the selected thesis topic. Passing a written test, discussion about the test (solution procedures, justifying choices, context, etc)
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Recommended literature
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GAVORA, Peter. Výzkumné metody v pedagogice. Brno: Paido, 1996.
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HANOUSEK, Jan a CHARAMZA, Pavel. Moderní metody zpracování dat: matematická statistika pro každého. Praha: Grada, 1992.
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Hendl, Jan. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Praha: Portál, 2004. ISBN 80-7178-820-1.
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Chráska, M. Základy výzkumu v pedagogice. Olomouc: Univerzita Palackého, 2000.
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MAŇÁK, J. a ŠVEC, V. Cesty pedagogického výzkumu. Brno: Paido, 2004. ISBN 80-7315-078-6.
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ONDREJKOVIČ, P. Úvod do metodológie sociálnych vied. Bratislava: Regent, 2006. ISBN 80-88904-44-7.
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Škaloudová, Alena. Statistika v pedagogickém a psychologickém výzkumu. Praha: Univerzita Karlova, 1998. ISBN 80-86039-56-0.
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