FSS:SOC932 Data Analysis - Course Information
SOC932 Data Analysis
Faculty of Social StudiesSpring 2019
- Extent and Intensity
- 0/0/0. 19 credit(s). Type of Completion: z (credit).
- Teacher(s)
- Dr. Werner Binder (lecturer)
prof. PhDr. Tomáš Katrňák, Ph.D. (lecturer)
prof. Martin Kreidl, Ph.D. (lecturer)
doc. Kateřina Lišková, Ph.D. (lecturer)
doc. PhDr. Ing. Radim Marada, Ph.D. (lecturer)
doc. PhDr. Kateřina Nedbálková, Ph.D. (lecturer)
doc. PhDr. Csaba Szaló, Ph.D. (lecturer)
Mgr. Lucie Vidovićová, Ph.D. (lecturer) - Guaranteed by
- prof. PhDr. Tomáš Katrňák, Ph.D.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies - Prerequisites
- A typical prerequisite is a successfully defended extended dissertation project from SOC913.
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Sociology (Eng.) (programme FSS, D-SO4) (2)
- Sociology (programme FSS, D-SO4) (2)
- Course objectives
- The aim of the course is to increase methodological qualification and practical research skills relevant for student's own dissertation research.
- Learning outcomes
- After successfully passing the course, student will be able to apply methodological approaches, interpret, compose, evaluate them.
- Syllabus
- Course content varies by semester. There are several strategies that can be used to obtain credit: a. enrollment in existing methodological courses (in the department of sociology or another department), b. enrollment in ad-hoc methodological courses offered by visiting professors/lecturers c. participation in methodological spring/summer schools d. successful completion of methodological cours(es) at other universities (typically abroad) e. independent study of a chosen method (with one's supervisor or other expert) that will result in a paper using the respective method.
- Literature
- recommended literature
- ELSTER, Jon. Explaining social behavior : more nuts and bolts for the social sciences. Revised edition. Cambridge: Cambridge University Press, 2015, x, 505. ISBN 9781107416413. info
- The SAGE handbook of social research methods. Edited by Pertti Alasuutari - Leonard Bickman - Julia Brannen. Paperback ed. London: SAGE publication, 2008, xvi, 631. ISBN 9781412919920. info
- DE VAUS, D. A. Analyzing social science data. First published. London: SAGE Publications, 2002, xxiv, 401. ISBN 0761959386. info
- TRIGG, Roger. Understanding social science :a philosophical introduction to the social sciences. 2nd ed. Oxford: Blackwell Publishers, 2001, ix, 270 s. ISBN 0-631-21872-6. info
- CRESWELL, John W. Qualitative inquiry and research design : choosing among five traditions. Thousand Oaks: SAGE Publications, 1998, xv, 403. ISBN 0761901442. info
- LAYDER, Derek. Sociological practice : linking theory and social research. 1st pub. London: SAGE Publications, 1998, vi, 191. ISBN 0761954309. info
- ELSTER, Jon. Nuts and bolts for the social sciences. 1st pub. Cambridge: Cambridge University Press, 1996, viii, 184. ISBN 0521376068. info
- Teaching methods
- Depends on the particular course (i.e. seminars, lectures, discussions, presentation).
- Assessment methods
- Depends on the particular course (i.e. presentation, final paper, practical exercise).
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
- Listed among pre-requisites of other courses
- SOCd0113 Data Analysis
!SOC932 && !NOW(SOC932)
- SOCd0113 Data Analysis
- Enrolment Statistics (Spring 2019, recent)
- Permalink: https://is.muni.cz/course/fss/spring2019/SOC932