FSS:SOC560 Sociological Research - Course Information
SOC560 Sociological Research
Faculty of Social StudiesAutumn 2019
- 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. Martin Kreidl, Ph.D.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies - Timetable
- Thu 10:00–11:40 PC26
- Prerequisites
- !NOW( SOC660 Sociological Research )&&! SOC660 Sociological Research && ! SOC662 Sociological Research && !NOW( SOC662 Sociological Research )&& SOUHLAS
Martin Kreidl's seminar group (fall term)
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 10 student(s).
Current registration and enrolment status: enrolled: 0/10, only registered: 0/10 - fields of study / plans the course is directly associated with
- Sociology (programme FSS, N-SO)
- 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. M. Kreidl's seminar group
1) Statistics and sociology- 2) Two-way cross-tabulations
- 3) Special tables
- 4) Association of variables
- 5) chi-square test of association
- 6) Crash-course in STATA
- 7) Linear correlation and regression
- 8) Multivariate regression
- 9) Multivariate regression- special analytical procedures
- 10) Missing data
- 11) Logistic regression
- 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
prof. 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)
- Study Materials
The course is taught annually.
Information on course enrolment limitations: Předmět si zapisují jen ti studenti, kteří jej opakují. Pro nové imatr. ročníky je určen SOC662
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fss/autumn2019/SOC560