FSS:VPLb1132 Statistics - Course Information
VPLb1132 Statistics
Faculty of Social StudiesAutumn 2020
- Extent and Intensity
- 2/2/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- 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 - Timetable
- 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/B: Tue 10:00–11:40 PC54, M. Suchanec - Prerequisites
- ! 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
- Social Work (programme FSS, B-SP)
- Social Work (programme FSS, B-SPR) (3)
- Public and Social Policy and Human Resources (programme FSS, B-VSPLZ) (5)
- Public Policy and Human Resources (programme FSS, B-SP)
- 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
- Syllabus
- Statistics and basic concepts
- Descriptive statistics
- Inferential statistics
- Literature
- 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 Anton Kittil Frisch, Translated by Jaromír Císař. 1. vyd. Praha: Svoboda, 1977, 351 s. URL 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. URL 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
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
- Enrolment Statistics (Autumn 2020, recent)
- Permalink: https://is.muni.cz/course/fss/autumn2020/VPLb1132