Syllabus for Methods II

Metod II

Syllabus

  • 7.5 credits
  • Course code: 2FK054
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Peace and Conflict Studies A1F
  • Grading system: Fail (U), Pass (G), Pass with distinction (VG)
  • Established: 2016-06-02
  • Established by:
  • Revised: 2019-05-09
  • Revised by: The Department Board
  • Applies from: week 27, 2019
  • Entry requirements: A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. Also required is 90 credits in peace and conflict studies, or 90 credits in a related relevant discipline and at least 30 credits in peace and conflict studies or the equivalent. Participation in Methods I.
  • Responsible department: Department of Peace and Conflict Research

Learning outcomes

After completion of this course the student is expected to be able to:

  • apply the principles of statistical inference
  • apply and interpret key statistical methods such as linear and logistic regression analysis
  • independently conduct statistical analysis using statistical software
  • apply statistical analysis to answer a research question and test theoretical arguments
  • assess the relevance of using scientific methods outside the academic community, such as in conducting and interpreting policy evaluations and reports
  • independently solve assignments within allocated time

Content

The course aims to deepen the knowledge of social science methodology that students have acquired during undergraduate studies. The aim is to develop the ability to use the methods of practical research and to sharpen the critical understanding of different methods' advantages and disadvantages. Methods II focuses on the extensive study of many cases and the inferential logic behind statistical analysis. It also involves a practical assignment where statistical analysis is used for a miniature research project which involves all major steps of the research process (e.g. formulating a research question and theoretical argument and operationalizing key concepts).

Instruction

The course consists of lectures and mandatory seminars. The literature combines generic methods texts with applications from the field of peace and conflict research. Some of the practical exercises used in preparation of the seminars require the use of statistical software.

Assessment

The course concludes with a written exam. The written exam is intended to provide a basis for grading the students but also offer students an opportunity to repeat the course content and thereby consolidate their knowledge.

Grades: Pass with distinction (VG), Pass (G), Fail (U).

In order to receive the grade Pass (G), the student is required to:

  • participate in all mandatory seminars and present a genuine attempt to solve all assignments before each seminar. Should a student fail to hand in a seminar assignment on time and/or be absent from a seminar, he/she will need to complete a replacement assignment in addition to the original assignment.
  • receive a grade of Pass the written exam
In order to receive the grade Pass with distinction (VG), the student is required to:
  • participate in all mandatory seminars and present a genuine attempt to solve all assignments before each seminar. Should a student fail to hand in a seminar assignment on time and/or be absent from a seminar, he/she will need to complete a replacement assignment in addition to the original assignment
  • receive a Pass with distinction (VG) on the written exam.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.

Syllabus Revisions

Reading list

Reading list

Applies from: week 35, 2020

Some titles may be available electronically through the University library.

  • Kellstedt, Paul M.; Whitten, Guy D. The fundamentals of political science research

    2. ed.: Cambridge: Cambridge University Press, 2013

    Find in the library

    Mandatory

  • Pampel, Fred C. Logistic regression [Elektronisk resurs] : a primer

    Thousand Oaks, [Calif.]: SAGE, cop. 2000.

    Find in the library

    Mandatory

  • Wheelan, Charles J. Naked statistics : stripping the dread from the data

    First edition: New York: W.W. Norton & Company, [2013]

    pp. 127-142

    Find in the library

    Mandatory

  • Powner, Leanne C. Empirical research and writing : a political science student's practical guide

    Thousand Oaks, California: CQ Press, an imprint of SAGE, 2015

    Find in the library

  • Berry, William Dale. Understanding regression assumptions [Elektronisk resurs]

    Newbury Park: SAGE, cop. 1993.

    Find in the library

  • Dunning, Thad Natural experiments in the social sciences [Elektronisk resurs] : a design-based approach

    Cambridge: Cambridge University Press, 2012

    Find in the library

  • Handbook On Impact Evaluation: Quantitative Methods And Practices [Elektronisk resurs] Khandker, Shahidur R.; Khandker, Shahidur B.; Koolwal, Gayatri B.; Samad, Hussain A.

    World Bank, 2009

    Find in the library

  • Schmuller, Joseph Statistical Analysis with R For Dummies

    For Dummies, 2017

    Find in the library

  • Gerring, John Case study research [Elektronisk resurs] : principles and practices

    2006

    Find in the library