Postgraduate course

Quantitative Methods

Teaching semester


Objectives and Content

The aim of this course is to provide the students with solid skills in the most important techniques and recent developments within quantitative methods in political science/public administration. The course will enable students to carry out empirical research on their own and make sound choices of research methods when writing their MA-thesis. As a preparation for conducting their own literature reviews the course will train students in understanding and assessing critically different methods used in other research contributions. The students will be offered an advanced overview of different methods that are useful in the study of organizations and public administration: Experimental methods, various forms of statistical analyses such as linear regression, logistic regression, and multilevel analysis. In addition, the course provides an introduction to quantitative text analysis and network analysis. The course will be based on the statistical package

Stata. Finally, an aim is to illustrate how methodological choices are related to different traditions in the philosophy of sciences.

The course consists of the following components:

  1. Philosophy of Science and Basic Conceptual Analysis
  2. Experimental methods
  3. Ordinary linear regression
  4. Logistic regression
  5. Inferential statistics and significance testing
  6. Quantitative text analysis
  7. Network analysis

Learning Outcomes

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:


The student can

  • Give an account of the most important recent developments in quantitative methods within political science/public administration
  • Explain the logic of different experimental methods and the differences between them
  • Explain different statistical methods


The student can

  • Employ different methods to analyze a research question
  • Argue for the choice of method
  • Argue for the choice of statistical technique
  • Use Stata in preparing and analyzing data

General competence

The student can

  • Make well-grounded choices of methodological approach
  • Argue for the strengths and weaknesses of a given methodological approach
  • Assess critically the validity of the results from an empirical investigation

Recommended Previous Knowledge

AORG101, AORG104, AORG103 / AORG105 / AORG107 / AORG109, AORG209 / AORG210

Credit Reduction due to Course Overlap

Total course overlap and full point reduction in relation to AORG321A, AORG319 and AORG321.

Access to the Course

The course is open for students who have been accepted to the Master's programme in public administration. Exchange students may be accepted upon application.

Teaching and learning methods

The format of teaching is primarily class lectures (8-9). In addition, 1-2 seminars will be given where students are required to present drafts and comment on another student's presentation at least once.

Compulsory Assignments and Attendance

Students are expected to actively participate in the discussion and give a presentation of an essay to be written on the basis of the syllabus. In addition, each student is required to at least one time comment on another student's oral/written presentation. This requirement is compulsory and valid for the current and the following assessment semester.

An essay written on the basis of the syllabus.

Forms of Assessment

An five-hour school exam.

Grading Scale


Assessment Semester

Assessment in teaching semester. Students who have a valid document of absence or fails the exam may take a new exam in the following semester.

Course Evaluation

The course is evaluated every 3rd year.

Course Administrator

Department of Administration and Organization Theory


Contact Information


Tlf 55 58 21 54

Exam information

  • For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam. The exam location will be published 14 days prior to the exam. Candidates must check their room allocation on Studentweb 3 days prior to the exam.

  • Type of assessment: Written Exam

    06.05.2020, 09:00
    5 hours
    Withdrawal deadline
    Examination system
    Digital exam