Syllabus for Quantitative Methods

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  • 7.5 credits
  • Course code: 2ST106
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Statistics A1N
  • Grading system: Fail (U), Pass (G), Pass with distinction (VG)
  • Established: 2008-05-29
  • Established by: The Department Board
  • Revised: 2014-12-17
  • Revised by: The Department Board
  • Applies from: week 36, 2015
  • Entry requirements: An undergraduate degree of at least 180 credits is required, of which at least 90 credits are within social science, or equivalent.
  • Responsible department: Department of Statistics

Learning outcomes

A student who has taken the course should:
• have obtained practice in applying analytical methods for the social and the behavioural sciences
• be able to use statistical software packages for the analysis of statistical data
• be able to interpret the results of a statistical analysis
• be aware of limitations and possible sources of errors in the analysis
• have ability to both in oral and written form present results of statistical analysis


Practical application of statistical methods used within the social and the behavioural sciences Data collection and sampling methods. Inference, relationships between variables, correlation, regression analysis, models for dichotomous/polytomous dependent variables and analysis of questionnaire data are examples that are treated during the course.


Teaching is given in the form of lectures and seminars.


Examination and assignments.

Reading list

Reading list

Applies from: week 44, 2017

  • Imai, Kosuke. Quantitative social science : an introduction

    Princeton, NJ: Princeton University Press, 2017.

    Find in the library