FSS:SPP456 Workshop on Social, Political - Course Information

SPP456 Workshop on Social, Political and Welfare Values

Extent and Intensity

1/1/0. 8 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. Steven Saxonberg, Ph.D. (lecturer)
Mgr. Kateřina Vráblíková, Ph.D. (lecturer)

Guaranteed by

prof. PhDr. Libor Musil, CSc.
Department of Social Policy and Social Work – Faculty of Social Studies

Timetable

Thu 25. 2. 14:00–15:40 U43, 16:00–17:40 PC26, Thu 4. 3. 14:00–15:40 U43, 16:00–17:40 PC26, Thu 11. 3. 14:00–15:40 U43, 16:00–17:40 PC26, Thu 18. 3. 14:00–15:40 U43, 16:00–17:40 PC26, Thu 22. 4. 16:00–17:40 PC26, Thu 29. 4. 16:00–17:40 PC26

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

• European Studies (programme FSS, N-MS)
• Media Studies and Journalism (programme FSS, C-CV)
• European Studies and International Relations (programme FSS, C-CV)
• European Studies and International Relations (programme FSS, N-MS)
• International Relations (programme FSS, N-MS)
• Political Science (programme FSS, C-CV)
• Political Science (programme FSS, N-PL)
• Psychology (programme FSS, C-CV)
• Social Policy and Social Work (programme FSS, C-CV)
• Sociology (Eng.) (programme FSS, N-SO)
• Sociology (programme FSS, C-CV)
• Sociology (programme FSS, N-SO)

Course objectives

Students will learn how to apply statistical methods to data bases using SPSS. Now previous background in statistics or mathematics is necessary. Students will learn how to perform linear regression, multinomial regression, logit, scaling and factor analysis.

Syllabus

• Intro lecture and lecture on Linear Regression
• Linear regression practice on computers
• Lecture on multiple regression
• Practice on multiple regression
• Lecture on Logit, ordinal logit and scaling
• Practice on scaling
• Lecture on Factor Analysis
• Practice on Factor Analysis
• Help student with computations for their papers
• Discussions of final papers

Literature

• Samuel B. Green et al, Using SPSS for Windows: Analyzing and Understanding Data (New Jersey: Prentice Hall, 2000, second edition), chapters 35, 36
• Andy Field, Discovering Statistics Using SPSS for Windows (London: Sage, 2000), chapters 3, 4, 5 and 11.
• J. Scott Log and Jeremy Freese, Regression Models for Cateorical Dependent Variables Using Stata (Texas: Stata Press, 2001), chapters 4, 5.

Assessment methods

At the end of the term students will hand in a paper that uses all of the above methods. Students will also do exercises at each computer lab meeting.

Language of instruction

English

Further Comments

The course is taught annually.

• Enrolment Statistics (Spring 2010, recent)
  
• Permalink: https://is.muni.cz/course/fss/spring2010/SPP456