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Lecturer(s)
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Hegedušová Marie, PhDr. Ph.D.
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Course content
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1-2. types and sources of data 3-4. tabular data 5-6. association 7-8. statistical software 9-10. interpretation of data 11-12. research report
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Learning activities and teaching methods
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Project-based instruction, Skills demonstration, Task-based study method, Practicum
- Contact hours
- 65 hours per semester
- Preparation for comprehensive test (10-40)
- 40 hours per semester
- Undergraduate study programme term essay (20-40)
- 37 hours per semester
- Preparation for an examination (30-60)
- 40 hours per semester
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| prerequisite |
|---|
| Knowledge |
|---|
| to describe and explain basic sociological methods. |
| to describe the formation of sociological perspectives using sociological methods. |
| characterize the basic findings from empirical qualitative or quantitative research. |
| to list and describe the basic developmental stages of the formation of qualitative or quantitative methods. |
| Skills |
|---|
| to produce a formally acceptable professional output. |
| actively use foreign databases of professional journals. |
| to independently interpret the findings resulting from the application of sociological methods. |
| use adequate terms corresponding to the terminology of the field in Czech and English. |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
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| to distinguish the variability of qualitative or qualitative methods. |
| to interpret different theoretical approaches and their impact on different versions of the qualitative or quantitative approach. |
| to characterize different types of conflicts in approaches to processing and analyzing qualitative or quantitative data. |
| Skills |
|---|
| to classify different types of methodological nuances in the application of qualitative or quantitative methods. |
| to independently process and analyse text, audio, image and video data using analytical software. |
| independently critically evaluate the qualitative or quantitative data obtained. |
| to independently choose the appropriate theoretical and methodological approach in the application of the selected qualitative method. |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Practicum |
| Task-based study method |
| Skills demonstration |
| Project-based instruction |
| Skills |
|---|
| Practicum |
| Task-based study method |
| Skills demonstration |
| Project-based instruction |
| Competences |
|---|
| Practicum |
| Task-based study method |
| Skills demonstration |
| Project-based instruction |
| assessment methods |
|---|
| Knowledge |
|---|
| Practical exam |
| Combined exam |
| Skills demonstration during practicum |
| Continuous assessment |
| Project |
| Skills |
|---|
| Practical exam |
| Combined exam |
| Skills demonstration during practicum |
| Continuous assessment |
| Project |
| Competences |
|---|
| Project |
| Skills demonstration during practicum |
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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, L. C. Statistics with STATA. Belmont. Brooks-Cole, 2004.
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Kohler, Ulrich, Kreuter, Frauke. Data analysis using STATA. College Station: STATA Press., 2005.
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Konopásek, Z. Co si počít s počítačem v kvalitativním výzkumu: program ATLAS/ti v akci. Biograf 12. pp. 71-110., 1997.
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Muhr, T. User's Manual for ATLAS.ti 5.0. (2nd Edition). Berlin. Scientific Software Development., 2004.
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