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Lecturer(s)
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Bačuvčík Radim, doc. Ing. Mgr. Ph.D.
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Course content
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- Design of quantitative research; - Quantitative research process; - Formulation of statistical hypotheses; - Methods and techniques of quantitative research in social sciences; - Assembling a questionnaire and other tools for quantitative research; - Collection fo quantitative data; - Hypotheses testing; - Statistical testing of data from optional and enumerative questions; - Statistical testing of numeric data; - Correlation and regression analysis; - Cluster analysis; - Statistical testing in commonly available and specialized statistical programs; - Data interpretation, rules of verbal and written presentations.
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Learning activities and teaching methods
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Lecturing, Exercises on PC
- Term paper
- 20 hours per semester
- Home preparation for classes
- 20 hours per semester
- Preparation for course credit
- 34 hours per semester
- Participation in classes
- 26 hours per semester
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| prerequisite |
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| Knowledge |
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| Prerequisities are not set. |
| Prerequisities are not set. |
| learning outcomes |
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| knowledge of the principles of quantitative research design |
| knowledge of the principles of quantitative research design |
| knowledge of the specifics of individual methods of quantitative research |
| knowledge of the specifics of individual methods of quantitative research |
| knowledge of the definition of the basic and sample set |
| knowledge of the definition of the basic and sample set |
| knowledge of ways of using the basic statistical indicators |
| knowledge of ways of using the basic statistical indicators |
| knowledge of the possibilities of presenting the results of quantitative research |
| knowledge of the possibilities of presenting the results of quantitative research |
| Skills |
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| create a quantitative research design |
| create a quantitative research design |
| choose an appropriate research method according to research assignment |
| choose an appropriate research method according to research assignment |
| define the basic and sample set in relation to the research assignment |
| define the basic and sample set in relation to the research assignment |
| choose appropriate statistical indicators according to the nature of the data |
| choose appropriate statistical indicators according to the nature of the data |
| interpret quantitative data and present research findings |
| interpret quantitative data and present research findings |
| teaching methods |
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| Knowledge |
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| Lecturing |
| Lecturing |
| Exercises on PC |
| Exercises on PC |
| Skills |
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| Practice exercises |
| Practice exercises |
| assessment methods |
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| Knowledge |
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| Written examination |
| Didactic test |
| Didactic test |
| Analysis of seminar paper |
| Analysis of seminar paper |
| Written examination |
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Recommended literature
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ANDERSON, D. R. Quantitative methods for business. 13e. Boston: Cengage Learning, 2016. ISBN 978-1-285-86631-4.
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Bergin, Tiffany. An introduction to data analysis: quantitative, qualitative and mixed methods. Los Angeles, 2018. ISBN 9781446295151.
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CRESWELL, John W. a CRESWELL David J. Research design: qualitative, quantitative, and mixed methods approaches. Sixth edition. Los Angeles: SAGE, 2023. ISBN 978-1-0718-7063-1.
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ESTEBAN-BRAVO, Mercedes a SANZ, J. Vidal. Marketing research methods: quantitative and qualitative approaches. Cambridge: Cambridge University Press, 2021. ISBN 978-1-108-79269-1.
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HENDL, Jan a REMR, Jiří. Metody výzkumu a evaluace. Praha: Portál, 2017. ISBN 978-80-262-1192-1.
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MACINNES, John. An introduction to secondary data analysis with IBM SPSS statistics. Los Angeles: SAGE, 2017. ISBN 9781446285770.
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MOORE, David. S.; NOTZ, William, I. a FLIGNER, Michael A. The basic practice of statistics. New York: W.H. Freeman and Co., 2018. ISBN 978-1464142536.
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NARDI, Peter M. Doing survey research: a guide to quantitative methods. Fourth edition. New York: Routledge, Taylor & Francis Group, 2018. ISBN 9781138043398.
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PALLANT, Julie. SPSS survival manual: a step by step guide to data analysis using SPSS: [international bestseller]. 4th ed. Maidenhead: Open University Press, 2010. ISBN 9780335242405.
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