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Data Analysis from Qustionnaire Survey

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code151-0361/01
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Choice-compulsory type B
Level of Course Unit *Second Cycle
Year of Study *First Year
Semester when the Course Unit is deliveredSummer Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
POM68RNDr. Marek Pomp, Ph.D.
Summary
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
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
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
Required Reading:
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.
Recommended Reading:
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
Lectures, Individual consultations, Tutorials
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Exercises evaluation and ExaminationCredit and Examination100 (100)51
        Exercises evaluationCredit45 (45)23
                PísemkaWritten test25 13
                ProjektProject20 5
        ExaminationExamination55 18