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Lecturer(s)
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Chytrý Vlastimil, doc. PhDr. Ph.D.
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Course content
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1. Data sources, organization of statistical surveys, creation of questionnaires, types of quantities, data set. Possibilities of online tools for data collection and mass processing. 2. Basic concepts of quantitative research (Research problems, goals, hypothesis, theory, data types, variables, analysis). 3. Reliability and possibilities of its testing, use of online tools. 4. Validity of questionnaires. 5. Basics of descriptive statistics? work with Microsoft Excel. 6. Data presentation (forms of data presentation). 7. Graphic description of data, histogram, bar graph, sector graph, quartile graph. 8. Statistical measures and characteristics (measures of position and measures of variability). 9. Problems of testing statistical hypotheses (basic set, sample set). 10. Normality tests (Shapiro-Wilk test, histograms). 11. Two-dimensional statistical space - independent variables. 12. Two-dimensional statistical space - dependent variables. 13. Correlation and regression analysis. 14. Possibilities of online tools for statistical data processing.
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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 student will learn to present statistical data in tabular, graphical and quantitative indicators. After completing the course the student is able to analyze selected files with emphasis on the application in education. They will also be able to explain the difference between quantitative and qualitative research and also explain the principles of statistics used in primary school and in diploma theses corresponding to the field studied.
The student can: - describe the organization of the statistical classification - characterize statistical measures - determine the psychometric properties of the instrument - describe and apply basic statistical tests
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Prerequisites
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The subject requires no specific prerequisites.
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Assessment methods and criteria
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unspecified
1. 80% participation in seminars. 2. Successful completion of the credit test. 3. Activity in seminars.
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Recommended literature
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Friesl B. Pravděpodobnost a statistika hypertextově.
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Hrach K. Interaktivní sbírka úloh ze statistiky.
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Chytrý, V., Trahorsch, P., Nováková, A., & Pavlátová, V. Vybrané kapitoly ze statistické analýzy empirických dat.. Ústí nad Labem: PF UJE, 2019.
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Melichar J., Svoboda J. Statistika, Skriptum PF UJEP. Ústí nad Labem, 2002. (dostupné z: http://pf.ujep.cz/files/data/KMA_statistika.pdf).
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