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Lecturer(s)
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Podlena Jaroslav, Mgr. Ph.D.
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Šebík Anton, PhDr. Mgr. Ph.D.
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Course content
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1. Summary of methods for evaluation of the relationship between two variables 2. Summary of methods for evaluation of the relationship between two variables 3. Log-linear models of analysis of pivot tables 4. Log-linear models of analysis of pivot tables 5. Survival analysis 6. Analysis of main components and factor analysis 7. Analysis of main components and factor analysis 8. Multidimensional scaling 9. Multidimensional scaling 10. Cluster analysis 11. Discriminant analysis 12. Discriminant analysis 13. Classification trees
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Learning activities and teaching methods
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Project-based instruction, Task-based study method, Textual studies, Lecture, Seminar
- Contact hours
- 78 hours per semester
- Graduate study programme term essay (40-50)
- 40 hours per semester
- Preparation for an examination (30-60)
- 24 hours per semester
- Presentation preparation (report) (1-10)
- 10 hours per semester
- Preparation for comprehensive test (10-40)
- 30 hours per semester
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| prerequisite |
|---|
| Knowledge |
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| to describe and explain basic sociological methods. |
| to describe the formation of sociological perspectives using sociological methods. |
| to enumerate and describe basic quantitative methods. |
| to characterize the basic knowledge resulting from empirical quantitative research. |
| Skills |
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| to create a formally acceptable professional output. |
| to actively use foreign databases of professional journals. |
| to apply and interpret knowledge resulting from the application of quantitative methods. |
| to use adequate terms corresponding to the terminology of the field in Czech and English. |
| Competences |
|---|
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
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| to distinguish and describe relationships in Log-linear models, contingency table analysis models, multidimensional scaling, cluster analysis, classification trees, etc. |
| to characterize what are Log-linear models, contingency tables, multidimensional scaling, cluster analysis, classification trees, etc. |
| to enumerate and distinguish key studies using selected methods. |
| Skills |
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| to classify, independently demonstrate and apply the studied methods (Log-linear models, contingency tables, multidimensional scaling, cluster analysis, classification trees, etc.). |
| to independently critically evaluate methods: Log-linear models, contingency tables, multidimensional scaling, cluster analysis, classification trees. |
| to independently choose a suitable theoretical and methodological approach to a selected topic using the studied methods. |
| to analyze data for a selected problem using one of the methods: log-linear models, contingency tables, multidimensional scaling, cluster analysis, classification trees. |
| to present in the form of a professional text the results of their analyzes performed using one of the methods: log-linear models, contingency tables, multidimensional scaling, cluster analysis, classification trees. |
| Competences |
|---|
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture |
| Seminar |
| Task-based study method |
| Textual studies |
| Project-based instruction |
| Skills |
|---|
| Seminar |
| Lecture |
| Task-based study method |
| Textual studies |
| Project-based instruction |
| Competences |
|---|
| Lecture |
| Seminar |
| Textual studies |
| Task-based study method |
| Project-based instruction |
| assessment methods |
|---|
| Knowledge |
|---|
| Combined exam |
| Test |
| Seminar work |
| Individual presentation at a seminar |
| Continuous assessment |
| Project |
| Skills |
|---|
| Combined exam |
| Test |
| Seminar work |
| Individual presentation at a seminar |
| Competences |
|---|
| Project |
| Combined exam |
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Recommended literature
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Agresti, Alan. An introduction to categorical data analysis. 2nd ed. Hoboken : Wiley-Interscience, 2007. ISBN 978-0-471-22618-5.
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Agresti, Alan. Categorical data analysis. 2nd ed. New York : Wiley-Interscience, 2002. ISBN 0-471-36093-7.
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Agresti, Alan; Finlay, Barbara. Statistical methods for the social sciences. Upper Saddle River : Pearson Prentice Hall, 2009. ISBN 978-0-13-027295-7.
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Cleves, Mario A.; Gould, William W.; Gutierrez, Roberto G. An Introduction to survival analysis using Stata. College Station : Stata Press, 2004. ISBN 1-881228-84-3.
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Fox, John. Applied regression analysis, linear models, and related methods. Thousand Oaks : SAGE Publications, 1997. ISBN 0-8039-4540-X.
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Hamilton, Lawrence C. Statistics with STATA : updated for version 9. Belmont : Brooks/Cole, 2006. ISBN 0-495-10972-X.
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Hox, Joop. Multilevel analysis : techniques and applications. Mahwah : Lawrence Erlbaum Associates, Publishers, 2002. ISBN 0-8058-3219-X.
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Long, J. Scott; Freese, Jeremy. Regression models for categorical dependent variables using Stata. College Station : Stata Press, 2006. ISBN 1-59718-011-4.
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Manly F.B.J. Multivariate statistical methods: a primer. 3rd.
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Tabachnick, Barbara G.; Fidell, Linda S. Using multivariate statistics. Boston : Pearson, 2013. ISBN 978-0-205-89081-1.
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