SOC560 Sociological Research

Faculty of Social Studies
Autumn 2014
Extent and Intensity
1/1/0. 12 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. Martin Kreidl, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Ladislav Rabušic, CSc.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies
Timetable
Thu 11:30–13:00 M117; and Thu 18. 9. 11:30–13:00 PC26, Thu 25. 9. 11:30–13:00 PC26, Thu 2. 10. 11:30–13:00 PC26, Thu 9. 10. 11:30–13:00 PC26, Thu 23. 10. 11:30–13:00 PC26, Thu 30. 10. 11:30–13:00 PC26, Thu 13. 11. 11:30–13:00 PC26, Thu 27. 11. 11:30–13:00 PC26, Thu 4. 12. 11:30–13:00 PC26, Thu 11. 12. 11:30–13:00 PC26
  • Timetable of Seminar Groups:
SOC560/01: No timetable has been entered into IS. M. Kreidl
Prerequisites
SOUHLAS


Martin Kreidl's seminar group
Knowledge of sociological research methods and methods of sociological data analysis corresponding to the undergraduate (BA) sociology program at the Faculty of social studies, Masaryk University and the State exam in sociology therein. Knowledge of STATA software is a plus. The following summarizes expected knowledge of statistics and students are requested to study these chapters before the semestr begins.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 12 student(s).
Current registration and enrolment status: enrolled: 0/12, only registered: 0/12
fields of study / plans the course is directly associated with
Course objectives


Goals - Martin Kreidl's seminar group
The course develops skills to use quantitative data analysis in the context of real reaserch - to prepare, run and interpret analyses resulting fromtheoretically driven research questions.
Syllabus
  • Prof. P. Mareš
    1. Ontology and epistemology - background of research;
  • 2. Topic and research questions;
  • 3. Sampling;
  • 4. Quantitative or qualitative approach;
  • 5. Concepts;
  • 6. Theories, schemes and models in research;
  • 7. The strengths and weaknesses of main research strategies;
  • 8. Research questions and data;
  • 9. Ethnography;
  • 10. Focus groups;
  • 11. Ethic of research;
  • 12. Limits of generalization.

    Doc. M. Kreidl
    1. Variability of research methods
  • 2. The strengths and weaknesses of main research strategies
  • 3. Randomized experiments
  • 4. Natural experiments
  • 5. Quasi-experiments
  • 7. Comparative research
  • 8. Panel data
  • 9. Fixed-effect models
  • 10. Mixed-mode research
Literature
    required literature
  • AGRESTI, Alan and Barbara FINLAY. Statistical methods for the social sciences. 4th ed. Upper Saddle River: Pearson Education, 2009, xiii, 609. ISBN 9780137131501. info
  • TREIMAN, Donald J. Quantitative data analysis : doing social research to test ideas. Edited by Deirdre D. Johnston - Thomas J. Grites. San Francisco: Jossey-Bass, 2008, xxxii, 443. ISBN 9780470380031. info
    recommended literature
  • FOX, John. Applied regression analysis and generalized linear models. Edited by John Fox. 2nd ed. Los Angeles: Sage, 2008, xxi, 665. ISBN 9780761930426. info
  • LONG, J. Scott and Jeremy FREESE. Regression models for categorical dependent variables using Stata. 2nd ed. Texas: Stata corporation, 2006, xxxii, 527. ISBN 9781597180115. info
Teaching methods


Doc. M. Kreidl
The course takes the form of lectures, PC lab sessions, weekly assignments, presentations. The course furthermore includes readings, and written papers.
Assessment methods
Grading differs according to the specific lecturer. It typically includes individual and/or group projects, presentations, literature reviews and papers.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
Information on course enrolment limitations: Tento předmět nahrazuje povinný předmět SOC431.
The course is also listed under the following terms Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019.
  • Enrolment Statistics (Autumn 2014, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2014/SOC560