| Course Unit Code | 114-0361/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Compulsory |
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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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| FIL03 | Ing. Lenka Johnson Filipová, Ph.D. |
| BAL112 | doc. Ing. Jiří Balcar, Ph.D., MBA |
| Summary |
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| Students will acquire the basic skills needed for analyzing, writing research reports and presenting their results and recommendations. During the semester students will be gradually acquainted with the individual phases of economic research. |
| Learning Outcomes of the Course Unit |
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• formulate and operationalize the research question / hypothesis
• identify a relevant population and define a sample of observations
• select a suitable data source and a tool for data gathering
• prepare data for processing
• use basic data processing methods
• interpret and present results
• learn to work with Stata software |
| Course Contents |
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• The nature of economic research and its basic limitations, forms of research (descriptive, experiment, ...)
• Formulation of problems, research questions, hypotheses and their operationalization, validity and reliability of variables
• Population and sample decisions, representativeness and sample weights
• The importance of pilot studies, their forms, sources of information for these studies
• Sources of statistical data, data collection techniques (observation, interview, questionnaire, document analysis, ...) and their limitations
• Design of data gathering tools (observation sheets, questionnaire, ...), principles of questions formulation, verification of data gathering tools
• Data gathering and preparation for further processing (data control, preparation of variables, missing observation problem, etc.)
• Types of variables (categorical, ordinal, interval), basic methods of statistical analysis (crosstables, Chi2 test, correlation)
• Basic methods of statistical analysis (hypothesis testing, cluster analysis, factor analysis)
• Principles of writing analyses, types of research outputs (monograph, article, research report, study, ...), formal requirements and citation standards
• Academic writing (structure of written text, content of individual parts of the analysis, principles of written speech)
• Graphic representation of information, charts and figures
• Principles of presentation of research results (preparation of presentation, verbal speech, non-verbal speech)
• Statistical Data Analysis Software (STATA, R, SPSS) |
| Recommended or Required Reading |
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| Required Reading: |
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Disman, M. (2002). Jak se vyrábí sociologická znalost. Praha: Karolinum. ISBN: 9788024601397
De Vaus, David (2013). Surveys in social research. 6th ed. London: Taylor & Francis Ltd. ISBN 0415530180.
Minot, N. (2009). Using STATA for Survey Data Analysis. Washington: International Food Policy Research Institute. |
Disman, M. (2002). Jak se vyrábí sociologická znalost. Praha: Karolinum. ISBN: 9788024601397
De Vaus, David (2013). Surveys in social research. 6th ed. London: Taylor & Francis Ltd. ISBN 0415530180.
Minot, N. (2009). Using STATA for Survey Data Analysis. Washington: International Food Policy Research Institute. |
| Recommended Reading: |
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Kozel, R., Mynářová, L., Svobodová, H. (2011). Moderní metody a techniky marketingového výzkumu. Praha: Grada Publishing. ISBN 978-80-247-3527-6.
Nussbaumer Knaflic, C. (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. 1st ed. New York: Wiley. ISBN 1119002257.
Řezánková, H. (2011). Analýza dat z dotazníkových šetření. Praha: Professional Publishing, ISBN 978-80-7431-062-1 |
Kozel, R., Mynářová, L., Svobodová, H. (2011). Moderní metody a techniky marketingového výzkumu. Praha: Grada Publishing. ISBN 978-80-247-3527-6.
Nussbaumer Knaflic, C. (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. 1st ed. New York: Wiley. ISBN 1119002257.
Řezánková, H. (2011). Analýza dat z dotazníkových šetření. Praha: Professional Publishing, ISBN 978-80-7431-062-1 |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| 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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| Credit | Credit | 100 (100) | 51 |
| Credit Test | Written test | 100 | 51 |