SPP724 Statistics

Faculty of Social Studies
Spring 2009
Extent and Intensity
0/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
PhDr. Václav Kulhavý, Ph.D., M.Sc. (lecturer)
Guaranteed by
prof. PhDr. Libor Musil, CSc.
Department of Social Policy and Social Work – Faculty of Social Studies
Timetable
Sat 7. 3. 8:30–10:00 Aula, 10:15–11:00 PC25, 11:50–12:30 PC25, 12:35–13:15 PC25, Sat 4. 4. 8:30–10:00 Aula, 10:15–11:00 PC25, 11:50–12:30 PC25, 12:35–13:15 PC25, Sat 23. 5. 8:30–10:00 Aula, 10:15–11:00 PC25, 11:50–12:30 PC25, 12:35–13:15 PC25
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
Course objectives
The goal of the course is the introduction of the quantitative methods in the sphere of public policy. The course is tied to the methodological seminars that provide broader knowledge of scientific methods. The most important practical course is the ability of students to work with the statistical data as well as the statistical tool SPSS. The premise is the ability to work with the MS applications (MS Word and Excel). The successful student should be able to apply the knowledges in the social programs realization, realization of the selection research procedure and the interpretation of the results and understanding of the wider inter-relations.
Syllabus
  • 1. Statistical data analysis Introduction – Statistics as the ladder 2. Descriptive statistics Description (central value, frequencies, cross tabs) Analysis of the false association (influence of third and other variable(s)) 3. Basics of the probability and inference Elements of probability (as the statistical grounds) Probability and inferiority 4. Statistics and public policy (and problems of the social work clients) Comparison and trends and the base of the analysis work Introduction to evaluation Introduction to CBA and CEA Introduction to benchmarking and SixSigma methodology
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • NORUŠIS, M. J. SPSS 12.0 guide to data analysis. Upper Saddle River, N.J.: Prentice Hall, 2004, xviii, 637. ISBN 0131478869. info
  • Jak se vyrábí sociologická znalost :příručka pro uživatele. Edited by Miroslav Disman. 3. vyd. Praha: Karolinum, 2000, 374 s. ISBN 80-246-0139-7. info
  • ROSSI, Peter H. and Mark W. LIPSEY. Evaluation : a systematic approach. Edited by Howard E. Freeman. 6th ed. Thousand Oaks: SAGE Publications, 1999, x, 500. ISBN 0761908935. 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
  • NAS, Tevfik F. Cost-benefit analysis :theory and application. Thousand Oaks: Sage Publications, 1996, xii, 219 s. ISBN 0-8039-7133-8. info
  • HAYS, William L. Statistics. 5th ed. Fort Worth, 1994, 18, 1112 s. ISBN 0-03-074467-9. info
  • ŘEHÁK, Jan and Blanka ŘEHÁKOVÁ. Analýza kategorizovaných dat v sociologii. Vyd. 1. Praha: Academia, 1986, 397 s. URL info
Assessment methods
3 written homeworks, ongoing written test, team presentation, written exam.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2008, Spring 2010, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017.
  • Enrolment Statistics (Spring 2009, recent)
  • Permalink: https://is.muni.cz/course/fss/spring2009/SPP724