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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The aim of the course is to teach students the basics of statistical analysis of data obtained in quantitative educational research, namely data types and methods of their production / collection and processing, descriptive statistics variables, tabular and graphical presentation of data using spreadsheets, interpretation of acquired data, sample surveys and statistical decision-making procedures. Another topic is the processing of data collected in qualitative research, particularly qualitative research methods, processing and analysis of the qualitative data.
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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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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CHRÁSKA, M. Metody pedagogického výzkumu. Praha: Grada, 2007. ISBN 978-80-247-1369-4.
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