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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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Bergin, Tiffany. An introduction to data analysis: quantitative, qualitative and mixed methods. Los Angeles, 2018. ISBN 9781446295151.
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Bradley, Nigel. Marketing research : tools & techniques. Oxford : Oxford University Press, 2013. ISBN 978-0-19-965509-0.
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Creswell, John W., Creswell J. David. Research design: qualitative, quantitative & mixed methods approaches. Los Angeles, 2018. ISBN 9781506386768.
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FEINBERG, FredM., KINNEAR, Thomas & James R. TAYLOR. odern marketing research: concepts, methods, and cases.
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Malhotra, Naresh K. Basic marketing research : a decision-making approach. 3rd ed. Upper Saddle River, N.J. : Pearson/Prentice Hall, 2009. ISBN 978-0-13-502414-0.
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MARTIN, William E. a Krista D. BRIDGMON. Quantitative and statistical research methods: from hypothesis to results. San Francisco, 2012. ISBN 978-0-470-63182-9.
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MOORE, David. S., NOTZ, William, I. & Michael A. FLIGNER. The basic practice of statistics. 2018. ISBN 978-1464142536.
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NARDI, P. Doing survey research: A guide to quantitative methods. Routledge, 2018.
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VOGT, W. Paul. Quantitative research methods for professionals. Boston, 2007. ISBN 0-205-35913-2.
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WRENCH, Jason S., Candice THOMAS-MADDOX, Virginia P. RICHMOND a James C. MCCROSKEY. Quantitative research methods for communication: a hands-on approach. New York, 2013. ISBN 978-0-19-993180-4.
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