Course Unit Code | 151-0361/01 |
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Number of ECTS Credits Allocated | 5 ECTS credits |
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Type of Course Unit * | Choice-compulsory type B |
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Level of Course Unit * | Second Cycle |
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Year of Study * | First 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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| POM68 | RNDr. Marek Pomp, Ph.D. |
Summary |
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The aim of the subject is to acquaint students with tools of statistical software SPSS for analysis both numeric and non-numeric data. The choise of methods is oriented to data processing from marketing and sociological research. |
Learning Outcomes of the Course Unit |
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The aim of the subject is to acquaint students with tools of statistical software SPSS for analysis both numeric and non-numeric data. The choise of methods is oriented to data processing from marketing and sociological research. |
Course Contents |
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1. Creating data sets. Sampling methods.
2. Sample size.
3. Variable types, their values, missing values.
4. Particular variables analysis. Frequency distribution. Estimations. Testing about proportions.
5. Association between variables.
6. Log-linear models.
7. Comparing two or more populations.
8. Logistic regression. |
Recommended or Required Reading |
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Required Reading: |
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AZEN, R., WALKER, C.M. Categorical Data Analysis for the Behavioral and Social Sciences. Taylor and Francis, 2011, ISBN 978-1-84872-836-3.
AGRESTI, Alan. An Introduction to Categorial Data Analysis. John Wiley & Sons, 2007, ISBN 978-0-471-22618-5.
ANDERSON, David Ray, Dennis J. SWEENEY a Thomas Arthur WILLIAMS. Statistics for business and economics. 11th ed., rev. Mason: South-Western Cengage Learning, c2012. ISBN 978-0-538-48164-9. |
PECÁKOVÁ, Iva. Statistika v terénních průzkumech. Professional Publishing, Praha, 2008, ISBN 978-80-86946-74-0.
ŘEZANKOVÁ, Hana. Analýza dat z dotazníkových šetření. Professional Publishing, Praha, 2011, ISBN 978-80-7431-062-1.
MAREŠ, Petr, Ladislav RABUŠIC a Petr SOUKUP. Analýza sociálněvědních dat (nejen) v SPSS. Brno: Masarykova univerzita, 2015. ISBN 978-80-210-6362-4.
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Recommended Reading: |
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TABACHNICK, Barbara G. a Linda S. FIDELL. Using multivariate statistics. 5th ed. Boston: Pearson Allyn & Bacon, c2007. ISBN 978-0-205-45938-4.
FREUND, Rudolf Jakob, William J. WILSON a Donna L. MOHR. Statistical methods. 3rd ed. Burlington: Elsevier/Academic Press, c2010. ISBN 978-0-12-374970-3.
AGRESTI, Alan. Categorical data analysis. Third edition. Hoboken: John Wiley & Sons, Inc., Publication, [2013]. Wiley series in probability and statistics. ISBN 978-0-470-46363-5. |
AZEN, R., WALKER, C.M. Categorical Data Analysis for the Behavioral and Social Sciences. Taylor and Francis, 2011, ISBN 978-1-84872-836-3.
AGRESTI, Alan. An Introduction to Categorial Data Analysis. John Wiley & Sons, 2007, ISBN 978-0-471-22618-5.
ANDERSON, David Ray, Dennis J. SWEENEY a Thomas Arthur WILLIAMS. Statistics for business and economics. 11th ed., rev. Mason: South-Western Cengage Learning, c2012. ISBN 978-0-538-48164-9. |
Planned learning activities and teaching methods |
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Lectures, Individual consultations, 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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Exercises evaluation and Examination | Credit and Examination | 100 (100) | 51 |
Exercises evaluation | Credit | 45 (45) | 23 |
Písemka | Written test | 25 | 13 |
Projekt | Project | 20 | 5 |
Examination | Examination | 55 | 18 |