Course Unit Code | 151-0339/01 |
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Number of ECTS Credits Allocated | 4 ECTS credits |
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Type of Course Unit * | Choice-compulsory type B |
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Level of Course Unit * | First Cycle |
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Year of Study * | Second Year |
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Semester when the Course Unit is delivered | Summer Semester |
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Mode of Delivery | Face-to-face |
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Language of Instruction | Czech |
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Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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Name of Lecturer(s) | Personal ID | Name |
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| FRI02 | doc. Ing. Václav Friedrich, Ph.D. |
Summary |
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In this course, students will be trained to design and implement questionnaire surveys that can be used for example in market research, consumer and sociological research, satisfaction analyses, etc. Students will also learn about selected simple and more complex statistical methods. Students will work with real statistical data obtained by their own primary research. They will learn to use the online CAWI survey service (VYPLNTO.CZ) to collect data, and use appropriate statistical software (IBM SPSS Statistics) to analyse data. The course also includes an introduction to the basics of academic writing (IMRaD, typography, working with figures and tables, citations, standards). |
Learning Outcomes of the Course Unit |
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The main aim of the course is to familiarize the future economist with selected methods of obtaining and analyzing economic data and to demonstrate how these methods and procedures can be used in other subjects of study, in the preparation of a bachelor's or master's thesis and in practice.
Upon successful completion of this course, the students will acquire the following knowledge, skills and abilities:
- They will become acquainted with the possibilities of using statistical methods in solving specific problems in the field of marketing, management or sociological research.
- They will learn how to design, implement and evaluate questionnaire surveys for specific problems of practice, for example, consumer behaviour or satisfaction surveys.
- They gain skills in processing questionnaire data on a computer using the IBM SPSS Statistics program.
- They will be able to apply selected statistical methods to analyse questionnaire surveys and interpret the results for specific decision making.
- They will learn the basics of academic writing, including working with literature and creating bibliographic citations, which will also be used in the writing of term papers and theses. |
Course Contents |
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1. Information sources, using references and citations
2. From research objectives to hypotheses testing
3. Questionnaire survey and questionnaire design
4. Preparation of data for the questionnaire survey
5. Categorical data, frequency tables and graphs
6. Numerical data, measures of level, heterogeneity and normality
7. Item analysis in preference batteries
8. Hypothesis testing, one-sample and two-sample tests
9. Testing the percentages
10. Analysis of dependencies in tables
11. Analysis of variance, homogeneous groups
12. Advanced analysis of preference batteries |
Recommended or Required Reading |
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Required Reading: |
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MACINNES, John. An Introduction to Secondary Data Analysis with IBM SPSS Statistics. London: SAGE Publications, 2017. 336 p. ISBN 978-1446285770.
MALHOTRA, Naresh and DASH, Satyabhusan Marketing Research: An Applied Orientation. 7th Edition. Harlow: Pearson, 2019. 888 p. ISBN 978-1292265636.
WAGNER, William E. Using IBM SPSS Statistics for Social Statistics and Research Methods. 7th Edition. Thousand Oaks: SAGE Publications, 2019. 208 p. ISBN 978-1506389004. |
RABUŠIC, Ladislav; SOUKUP,Petr a MAREŠ, Petr. Statistická analýza sociálněvědních dat (prostřednictvím SPSS). 2. přepracované vydání. Brno: Masarykova univerzita, 2019. 576 s. ISBN 978-80-210-9247-1.
TAHAL, Radek et al. Marketingový výzkum. Postupy, metody, trendy, 2. vyd. Praha: Grada, 2022. 296 s. ISBN 978-80-271-3535-6.
MACINNES, John. An Introduction to Secondary Data Analysis with IBM SPSS Statistics. London: SAGE Publications, 2017. 336 p. ISBN 978-1446285770. |
Recommended Reading: |
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CAMM, Jeffrey D. et al. Statistics for Business and Economics. 15th Edition. Boston: Cengage Learning, 2023. 1120 p. ISBN 978-0357715857.
FIELD, Andy. Adventure in Statistics: The Reality Enigma. Second Edition. Los Angeles: SAGE Publications, 2022. 664 p. ISBN 978-1529797138.
WALKER, Ian. Research Methods and Statistics. 2010th Edition. London: Red Globe Press, 2010. 200 p. ISBN 978-0230249882. |
ŘEHÁK, Jan a BROM, Ondřej. SPSS – Praktická analýz dat. Brno: Computer Press, 2015. 336 s. ISBN 978-80-251-4609-5.
FRIEDRICH, Václav a kol. Statistické metody. SOET, vol. 29. Ostrava: VŠB-TUO, 2018. 372 s. ISBN 978-80-248-4108-3.
FIELD, Andy. Adventure in Statistics: The Reality Enigma. Second Edition. Los Angeles: SAGE Publications, 2022. 664 p. ISBN 978-1529797138. |
Planned learning activities and teaching methods |
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Lectures, Individual consultations, Tutorials, Project work |
Assesment methods and criteria |
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Task Title | Task Type | Maximum Number of Points (Act. for Subtasks) | Minimum Number of Points for Task Passing |
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Graded credit | Graded credit | 100 | 51 |