Course syllabus
 
Advanced Quantitative Research Methods in Social Sciences, 7.5 credits
(Avancerade kvantitativa forskningsmetoder i samhällsvetenskaper, 7,5 högskolepoäng)
 
Course code: 17F1002
Discipline for doctoral studies: Other subjects
Academic school: School of Social Sciences
Research area for doctoral studies: Politics, Economy and the Organisation of Society 100%
Grades permitted: G
Education cycle: Third cycle
Language of instruction: English
Valid from: VT 2013 (spring semester)


1. Validation

This course syllabus was validated by Committee for Research and Doctoral Education at Södertörn University on 2011-12-14 according to the stipulations in the Higher Education Ordinance. This course was revised on 2012-10-29.

2. Entry requirements

Admitted to doctoral studentship.

3. Learning outcomes

After completing the course, the doctoral student can:
  • demonstrate specialised knowledge and understanding of certain advanced quantitative research methods,
  • describe the use of advanced quantitative methods for different types of studies in social science,
  • perform different types of regression analysis,
  • deal with different types of problem that require the use of advanced quantitative methods in addition to regression analysis,
  • autonomously determine the method of analysis on the basis of advanced research problems,
  • adopt an autonomous, critical and analytical approach to the use of advanced quantitative methods in the social sciences, and
  • reflect on the opportunities and limitations of different quantitative methods' application to problems in the social sciences.

  • 4. Course contents, modules and examinations

    The course in Advanced Quantitative Research Methods shall present a number of advanced quantitative methods and their use in problems in the social sciences. The overall aim is that the student reaches an understanding of the use of these methods and the interpretation and presentation of the results in a scholarly context.

    The course provides further specialisation in variants in regression analysis, but it should also broaden their areas of use and, primarily, introduce other advanced techniques. Time series analysis, factor analysis and related techniques, as well as quantitative content analysis techniques, are treated in more details. Apart from knowledge of the actual analysis techniques and their management in statistical programs, the course also seeks to convey something of their use in the social sciences.


    5. Course design

    Lectures by some of the area’s leading representatives, text seminars and discussion panels.

    6. Course assessment

    The examination has two components. One is active participation in text seminars, in which participants must have prepared questions for discussion on the basis of their own reading; the other is an autonomously written paper.

    Grades permitted: G (pass) or U (fail).
     The grading criteria are distributed prior to the start of a course or module.

    If a student has a certificate for compensatory support from Södertörn University, the examiner may decide on an adapted examination or alternative examination form in accordance with Södertörn University's regulations.

    7. Reading list
      Beslutas vid ämnet enligt där gällande ordning.

    Decided by the subject according to the relevant regulations

    8. Restrictions on accreditation

    The course may not be accredited as part of a degree if the contents are partly or wholly the same as a course previously taken in Sweden or elsewhere.

    9. Other stipulations
    The course may not be credited in a degree programme alongside a course completed inside or outside of Sweden, which has a content that wholly or partly corresponds to the content of this course.