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Lecturer(s)
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Doulík Pavel, prof. PaedDr. Ph.D.
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Chytrý Vlastimil, doc. PhDr. Ph.D.
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Course content
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1. Sources of data, organization of statistical surveys, questionnaires formation, types of variables, the data file. basic concepts of quantitative research (research problems, objectives, hypothesis, theory, data types, variables, analysis). 2nd Reliability, validity questionnaires. Strength tests 3. Basic descriptive statistics (descriptive analysis) - univariate statistical area + tabular presentation of the data in the spreadsheet program Excel according to types of variables (frequency table, frequency, mean, median, mode, percentiles, variability, variance, standard deviation, interquartile range, the degree of concentration ). A description of the types of data - numeric data, categorical and ordinal scaling 4. Graphical description of data, histogram, bar graph, sector graph chart quartile. 5. Fundamentals of probability, intersection, random variables, probability distributions, distribution function, normal distribution. 6.Rozlišení parametric and non-parametric test methods Week 7: The two-dimensional statistical area - dependent and independent variables 8. Analysis of dependencies for different types of variables - two categorical variables 9. Analysis of dependencies for different types of variables - two metric variables 10. Analysis of dependencies for different types of variables - metric and categorical variables. 11.Faktorová analysis and cluster analysis. 12. Qualitative research, case studies, document analysis, field research, qualitative experiment, observation, interview 13. Methods of processing qualitative data, fixing data, prepare data for analysis, coding, work with timelines, organize data into groups, capturing patterns and themes 14. Analysis of qualitative data, imagery, factoring, grounded theory, narrative reconstruction
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Learning activities and teaching methods
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unspecified, unspecified
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Learning outcomes
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The aim of the course is to provide students with the methodology of quantitative and qualitative research work, methods of mathematical statistics and with their application in educational research. Focus will be mainly on research methodology, formulation of the research problem, research assumptions and hypothesis.
Students can: - Present the statistical data in tabular, graphical, and using quantitative indicators, - Use basic distributionns, - Analyze samples with emphasis on applications in education, use Excel spreadsheets, - Proper use of specialized terminology and symbolism, - Use communication skills in technical language and has acquired the means of graphic communication, - Analyze univariate and multivariate statistical area Student competences: Competence in the fundamental analysis of one-dimensional space, working with parametric and non-parametric data, character, competence continues to elementary mathematics, informatics and didactics.
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Prerequisites
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A prerequisite is the ability of students to work with Excel
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Assessment methods and criteria
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unspecified
Attendance, active participation in seminars. Credit test (minimum 70% success rate), fulfillment of practical exercises, the exam.
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Recommended literature
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Gavora, P. a kol. Elektronická učebnica pedagogického výskumu. 2010.
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Gavora, P. Úvod do pedagogického výskumu. Bratislava: Univerzita Komenského, 1999.
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HENDL, J. Kvalitativní výzkum: základní teorie, metody a aplikace. 3. vyd. Praha: Portál, 407 s. ISBN 978-80-262-0219-6.. ISBN 978-80-262-0219-6.
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Hendl J. Přehled statistických metod zpracování dat. Portál, Praha, 2006. ISBN 80-7367123-9.
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HENDL, J. Přehled statistických metod zpracování dat.. Praha: Portál, 2004. ISBN 80-7178-820-1.
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CHRÁSKA , M. Základy výzkumu v pedagogice. Praha: SPN , 1993.. Olomouc: UP, 1993.
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Chráska, M. Didaktické testy. Brno: Paido, 1999, s.91. ISBN 80-85931-68-0..
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Chráska, M. Metody pedagogického výzkumu.. Praha: Grada., 2010.
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CHRÁSKA, M. Základy výzkumu v pedagogice.. Olomouc: PF UP, 1993.
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MAŇÁK, J., ET AL. Kapitoly z metodologie pedagogiky. Brno: PF MU, 1996.
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