VPLb1132 Statistics

Faculty of Social Studies
Autumn 2020
Extent and Intensity
2/2/0. 4 credit(s). Type of Completion: zk (examination).
Taught online.
Mgr. Miroslav Suchanec, Ph.D., M.Sc. (lecturer)
Guaranteed by
Mgr. Miroslav Suchanec, Ph.D., M.Sc.
Department of Social Policy and Social Work - Faculty of Social Studies
Supplier department: Department of Social Policy and Social Work - Faculty of Social Studies
Wed 7. 10. 14:00–15:40 U33, Wed 14. 10. 14:00–15:40 U33, Wed 21. 10. 14:00–15:40 U53, Wed 4. 11. 14:00–15:40 U33, Wed 11. 11. 14:00–15:40 U33, Wed 18. 11. 14:00–15:40 U33, Wed 25. 11. 14:00–15:40 U33, Wed 2. 12. 14:00–15:40 U33, Wed 9. 12. 14:00–15:40 U33, Wed 16. 12. 14:00–15:40 U33, Wed 6. 1. 14:00–15:40 U33, Wed 13. 1. 14:00–15:40 U33
  • Timetable of Seminar Groups:
VPLb1132/A: Wed 16:00–17:40 PC25, M. Suchanec
VPLb1132/B: Tue 10:00–11:40 PC54, M. Suchanec
! VPL132 Statistics && ! NOWANY ( VPL132 Statistics )
No special skills or knowledge is needed.
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
there are 10 fields of study the course is directly associated with, display
Course objectives
Students will gain understanding of the basic concepts of statistics, ability to apply statistics in different stages of quantitative social policy and social work research with focus on data analysis and interpretation. Students will be strenghtened in their ability to oraly present gained knowledge.
Learning outcomes
-understand the basic concepts of statistics -apply statistics in different stages of quantitative social policy and social work research with focus on data analysis -interpret the results of statistical analysis -ability to oraly present gained knowledge
  • Statistics and basic concepts
  • Descriptive statistics
  • Inferential statistics
    required literature
  • Petr Mareš, Ladislav Rabušic. Materiál pro kurs Statistická analýza dat : (jak pracovat s daty a zadávat výpočty v SPSS) Brno : Soukromý tisk Masarykovy univerzity, [2001] Stránky: 93 s. SYSNO: KL:41587
  • MAREŠ, Petr, Ladislav RABUŠIC and Petr SOUKUP. Analýza sociálněvědních dat (nejen) v SPSS (Data analysis in social sciences (using SPSS)). První. Brno: Masarykova univerzita, 2015. 508 pp. ISBN 978-80-210-6362-4. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004. 583 s. ISBN 8071788201. info
  • MORGAN, George A. and Orlando V. GRIEGO. Easy use and interpretation of SPSS for Windows : answering research questions with statistics. Mahwah: Lawrence Erlbaum Associates, Publishers, 1998. iv, 276. ISBN 0805829598. info
  • SWOBODA, Helmut. Moderní statistika. Edited by Ragnar Frisch. Vyd. 1. Praha: Nakladatelství Svoboda, 1977. 351 s. info
    recommended literature
  • Kenny, David A., 1987. Statistics for the social and behavioral sciences
  • GIBLISCO, Stan. Statistika bez předchozích znalostí. Translated by Zuzana Žižková. Vyd. 1. Brno: Computer press, 2009. 272 s. ISBN 9788025124659. info
  • ŘEHÁK, Jan and Blanka ŘEHÁKOVÁ. Analýza kategorizovaných dat v sociologii. Vyd. 1. Praha: Academia, 1986. 397 s. info
Teaching methods
Students will learn selected methods to analyse data, in PC labs they will analyse data from the field of social policy and socialwork, they will learn SPSS statistical package.
Assessment methods
two individual midterm exams on data analysis using SPSS group presentation of hypothesis test in SPSS final individual oral exam on understanding the basic concepts
Language of instruction
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2019, Autumn 2021, Autumn 2022.
  • Enrolment Statistics (Autumn 2020, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2020/VPLb1132