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Lecturer(s)
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Šebík Anton, PhDr. Mgr. Ph.D.
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Course content
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1. types and sources of data 2. tabular data 3. association 4. interpretation of data 5.-6. STATA software 7. data matrix 8. putting-in data 9.-10. data management 11. descriptive statistics in STATA 12. Stat-Transfer software 13. research report
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Learning activities and teaching methods
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Project-based instruction, Students' portfolio, Skills demonstration, Task-based study method, Individual study, Textual studies, Lecture, Seminar
- Undergraduate study programme term essay (20-40)
- 40 hours per semester
- Contact hours
- 52 hours per semester
- Preparation for comprehensive test (10-40)
- 40 hours per semester
- Presentation preparation (report in a foreign language) (10-15)
- 15 hours per semester
- Preparation for an examination (30-60)
- 60 hours per semester
- Preparation for formative assessments (2-20)
- 20 hours per semester
- Individual project (40)
- 33 hours per semester
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| prerequisite |
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| Knowledge |
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| Good working knowledge of English. Basic exposure to statistics: KSA/AAV or KSA/AAV1 or KSS/ZZD. Intermediate knowledge of the methods of data collection: KSS/MV1 or KSA/MTV1. The course is taught in English. |
| learning outcomes |
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| Students are able to: - formulate a research question - suggest an appropriate research design - choose an appropriate data - obtain the appropriate data - choose an appropriate data analytic method - manage software STATA - estimate potentialities of quantitative data analysis using software STATA - analyse assigned quantitative data using software STATA - create a simple bi-variate table/graph - interpret obtained results - present own analyses and their findings in a research report |
| teaching methods |
|---|
| Lecture |
| Seminar |
| Task-based study method |
| Textual studies |
| Skills demonstration |
| Project-based instruction |
| Individual study |
| Students' portfolio |
| assessment methods |
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| Combined exam |
| Test |
| Skills demonstration during practicum |
| Seminar work |
| Individual presentation at a seminar |
| Continuous assessment |
| Project |
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Recommended literature
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Acock, Alan C. A gentle introduction to STATA. College Station : Stata Press, 2006. ISBN 1-59718-009-2.
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Becker, Howard Saul. Writing for social scientists : how to start and finish your thesis, book, or article. Chicago : University of Chicago Press, 1986. ISBN 0-226-04108-5.
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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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Rabe-Hesketh, S., Everitt, B. A Handbook of Statistical Analyses Using Stata. (3rd. Ed.). Boca Raton. Chapman & Hall/CRC, 2004.
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