|
Lecturer(s)
|
-
Bačuvčík Radim, doc. Ing. Mgr. Ph.D.
|
|
Course content
|
1. Design of quantitative research. 2. Process of quantitative research. 3. Formulation of statistical hypotheses. 4. Methods and techniques of quantitative research in social sciences. 5. Creation of questionnaires and other tools for quantitative research. 6. Collection of quantitative data. 7. Hypothesis testing. 8. Statistical testing of data from sample and enumeration questions. 9. Statistical testing of numerical data. 10. Correlation and regression analysis. 11. Cluster analysis. 12. Statistical testing in commonly available and specialized statistical programs. 13. Data interpretation, rules for oral and written presentation.
|
|
Learning activities and teaching methods
|
Lecturing, Exercises on PC
- Participation in classes
- 26 hours per semester
- Home preparation for classes
- 14 hours per semester
- Preparation for course credit
- 30 hours per semester
- Term paper
- 30 hours per semester
|
| prerequisite |
|---|
| Knowledge |
|---|
| Prerequisities are not set. |
| Prerequisities are not set. |
| learning outcomes |
|---|
| 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 |
|---|
| 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 |
|---|
| Knowledge |
|---|
| Lecturing |
| Lecturing |
| Exercises on PC |
| Exercises on PC |
| Skills |
|---|
| Practice exercises |
| Practice exercises |
| assessment methods |
|---|
| Knowledge |
|---|
| Didactic test |
| Didactic test |
| Analysis of seminar paper |
| Analysis of seminar paper |
|
Recommended literature
|
-
ANDERSON, David Ray; SWEENEY, Dennis J.; WILLIAMS, Thomas Arthur; CAMM, Jeffrey D.; COCHRAN, James J. et al. Quantitative methods for business. Boston: Cengage Learning, 2016. ISBN 9781285866314.
-
Bergin, Tiffany. An introduction to data analysis: quantitative, qualitative and mixed methods. Los Angeles, 2018. ISBN 9781446295151.
-
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.
-
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.
-
HENDL, Jan a REMR, Jiří. Metody výzkumu a evaluace. Praha: Portál, 2017. ISBN 978-80-262-1192-1.
-
MACINNES, John. An introduction to secondary data analysis with IBM SPSS statistics. Los Angeles: SAGE, 2017. ISBN 9781446285770.
-
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.
-
NARDI, Peter M. Doing survey research: a guide to quantitative methods. Fourth edition. New York: Routledge, Taylor & Francis Group, 2018. ISBN 9781138043398.
-
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.
|