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Lecturer(s)
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Dvořáčková Olga, Mgr. Ph.D.
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Course content
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1. Descriptive statistics (incl. graphical representation) of various data types; 2. Principles of hypotheses testing. Statistical significance; 3. Chi-square test; 4. Contingency tables; 5. t-tests; 6. ANOVA, post-hoc tests; 7. Nonparametric tests; 8. Correlation and regression; 9. Multidimensional analyses (Factor analysis, Correspondence analysis, Discriminant analysis); Covered themes can be adjusted according to the students? needs.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Demonstration, E-learning, Individual tutoring
- Preparation for classes
- 30 hours per semester
- Class attendance
- 5 hours per semester
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Learning outcomes
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Descriptive statistics (incl. graphical representation) of various data types. Principles of hypotheses testing. Statistical significance. Chi-square test.
Students will be able to design an experimental survey, collect and analyze data and present their findings.
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Prerequisites
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The course is intended for graduate students - some basic level of statistical knowledge is expected. Students are assumed to have a basic knowledge of MS Excel or its alternatives.
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Assessment methods and criteria
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Oral examination, Written examination, Analysis of student's work activities (technical works)
Oral or practical examination.
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Recommended literature
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Bruce, Nigel; Pope, Daniel,; Stanistreet, Debbi. Quantitative methods for health research : a practical interactive guide to epidemiology and statistics. Second edition. Hoboken, NJ ; Chichester, West Sussex : Wiley, 2018. ISBN 978-1-118-66541-1.
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CARIFIO J., PERLA R. J. Ten Common Misunderstandings, Misconceptions, Persistent Myths and Urban Legends about Likert Scales and Likert Response Formats and their Antidotes. , 2007.
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FIELD A. Discovering Statistics Using SPSS. 3. ed. London: Sage Publications, 2009. ISBN 978-1-84787-906-6.
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Fowler, F. J. Survey Research Methods. SAGE. 2009. ISBN 9781412958417.
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Leavy, Patricia. Research design : quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches. New York ; London : The Guilford Press, 2017. ISBN 978-1-4625-1438-0.
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OSGOOD C. E., SUCI G. J., TANNENBAUM P. H. The Measurement of Meaning. University of Illinois Press. Urbana, 1957. ISBN 0-252-74539-6.
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