SOCd0113 Data Analysis

Faculty of Social Studies
Spring 2023
Extent and Intensity
0/0/0. 19 credit(s). Type of Completion: z (credit).
Teacher(s)
Dr. Zuzanna Brzozowska, M.Sc., M.A. (lecturer)
prof. PhDr. Tomáš Katrňák, Ph.D. (lecturer)
prof. Martin Kreidl, Ph.D. (lecturer)
doc. Kateřina Lišková, Ph.D. (lecturer)
doc. PhDr. Kateřina Nedbálková, Ph.D. (lecturer)
doc. PhDr. Csaba Szaló, 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 (in Czech)
! SOC932 Data Analysis && !NOW( SOC932 Data Analysis )
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 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
there are 24 fields of study the course is directly associated with, display
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 (probably available only in Czech)
The course is taught annually.
General note: Tento obecný "kurz" slouží pro zápis a evidenci metodologicky (kvantitativního nebo kvalitativního) orientovaného předmětu, který si vybírají z nabídky magisterského a doktorského studijního programu katedry studenti doktorského programu.
Teacher's information
The course is taught annually.
The course is also listed under the following terms Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.
  • Enrolment Statistics (Spring 2023, recent)
  • Permalink: https://is.muni.cz/course/fss/spring2023/SOCd0113