SPP456 Workshop on Social, Political and Welfare Values

Faculty of Social Studies
Autumn 2010
Extent and Intensity
1/1/0. 8 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. Steven Saxonberg, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Libor Musil, CSc.
Department of Social Policy and Social Work – Faculty of Social Studies
Timetable
Thu 23. 9. to Thu 21. 10. Thu 16:00–17:40 U33, Thu 25. 11. to Thu 2. 12. Thu 16:00–17:40 PC25, Thu 9. 12. to Fri 17. 12. Thu 16:00–17:40 U33; and Wed 29. 9. 12:00–13:30 PC25
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 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 0/15
fields of study / plans the course is directly associated with
there are 6 fields of study the course is directly associated with, display
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
    required literature
  • Samuel B. Green et al, Using SPSS for Windows: Analyzing and Understanding Data (New Jersey: Prentice Hall, 2000, second edition), chapters 35, 36
  • J. Scott Log and Jeremy Freese, Regression Models for Cateorical Dependent Variables Using Stata (Texas: Stata Press, 2001), chapters 4, 5.
    recommended literature
  • Andy Field, Discovering Statistics Using SPSS for Windows (London: Sage, 2000), chapters 3, 4, 5 and 11.
Teaching methods
Lectures, computer labs
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
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2009, Spring 2010.
  • Enrolment Statistics (recent)
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