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Lecturer(s)
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Šebík Anton, PhDr. Mgr. Ph.D.
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Marks Michal, Mgr.
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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
- Individual project (40)
- 40 hours per semester
- Preparation for an examination (30-60)
- 40 hours per semester
- Contact hours
- 78 hours per semester
- Undergraduate study programme term essay (20-40)
- 24 hours per semester
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| prerequisite |
|---|
| Knowledge |
|---|
| to describe and explain the basic sociological methods |
| to describe the formation of sociological perspectives in the use of sociological methods |
| to enumerate and describe the basic quantitative methods |
| to describe the basic knowledge resulting from empirical quantitative research |
| Skills |
|---|
| to form a formally acceptable professional output |
| to use foreign databases of professional journals |
| to apply and interpret knowledge resulting from the application of quantitative methods |
| to use adequate concepts corresponding terminology of the field in Czech and English |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
|---|
| to enumerate and describe key studies and requisites corresponding with the topic of quantitative research |
| to describe and intepret theoretical approaches used during quantitative research |
| to describe and interpret methods used during quantitative research |
| Skills |
|---|
| to sort key knowledge resulting from quantitative research |
| to demonstrate and apply selected research methods used during quantitative research |
| to critically evaluate the acquired knowledge |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture |
| Seminar |
| Task-based study method |
| Textual studies |
| Skills demonstration |
| Project-based instruction |
| Individual study |
| Students' portfolio |
| Skills |
|---|
| Lecture |
| Seminar |
| Task-based study method |
| Textual studies |
| Skills demonstration |
| Individual study |
| Project-based instruction |
| Students' portfolio |
| Competences |
|---|
| Skills demonstration |
| Project-based instruction |
| Students' portfolio |
| assessment methods |
|---|
| Knowledge |
|---|
| Combined exam |
| Skills demonstration during practicum |
| Seminar work |
| Individual presentation at a seminar |
| Continuous assessment |
| Project |
| Skills |
|---|
| Combined exam |
| Skills demonstration during practicum |
| Seminar work |
| Individual presentation at a seminar |
| Continuous assessment |
| Project |
| Competences |
|---|
| Combined exam |
| Skills demonstration during practicum |
| Individual presentation at a seminar |
| Project |
|
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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