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Prospectus

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Quantitative Research Methods

Course
2021-2022

Admission requirements

MSc International Relations and Diplomacy students.

Description

This course explores various statistical methods as applied to international relations and comparative politics. It starts with simple, but essential, descriptive statistics. It further introduces learners to the topics of inferential statistics and, notably, linear and logistic regressions. The course finishes with the cutting-edge methods related to survey and natural experiments.

Course objectives

By the end of this course, the learners will be able to

  • identify data relevant for various research questions related to international relations or comparative politics;

  • describe and analyse the data with modern quantitative research methods techniques;

  • interpret the results of quantitative analysis;

  • evaluate and critique a research design; and

  • distinguish between the concept of causality and correlation.

Timetable

On the right-hand side of the programme front page of the E-Prospectus you will find a link to the online timetables.

Mode of instruction

This course is a mix of lectures and tutorials. Tutorials serve to put theory into practice and get a good command of statistical software.

Study load: 140 hours

Assessment method

Final grades are calculated based on four components:

  • On-line test (20%),

  • A resit of the on-line test is only possible if the student has failed the assignment and a calculated overall course grade lower than 5.50. The resit will take place 6th of June 2022.  

  • Programming challenge (10%),

  • A resit of the Programming Challenge is only possible if the student has failed the assignment and a calculated overall course grade lower than 5.50. The resit will take place 6th of June 2022.  

  • Written assignment I (30%),

  • A resit of the written assignment 1 is only possible if the student has failed the assignment and a calculated overall course grade lower than 5.50. The resit will take place 6th of June 2022.  

  • Written assignment II (40%),

  • A resit of the written assignment 2 is only possible if the student has failed the assignment and a calculated overall course grade lower than 5.50. The resit will take place 6th of June 2022.  

You can find more information about assessments and the timetable exams on the website.
Details for submitting papers (deadlines) are posted on Brightspace.

Failed partial grades or components should be compensated by passed partial grades or components. The calculated grade must be at least 5,5 to pass the course. It is not possible to re-sit a partial grade or component once you have passed the course.

Transitional arrangement for students enrolled in the course in the academic year 2020-21:
The assessment method of this course has changed. Second year students who have valid partial grades for this course, but have not obtained a passing grade for this course, must complete the course in accordance with last year’s assessment methods.

Partial grades will remain valid for one academic year.

Reading list

  • Diez, David, Christopher Barr and Mine Cetinkaya-Rundel (2015). OpenIntro Statistics. Third Edition. Available under a Creative Commons license. Visit the website of OpenIntro for a free PDF, to download the textbook's source files, or for more information about the license.

  • Khandker, Shahidur R., Gayatri B. Koolwal and Hussain A. Samad (2010). Handbook on Impact Evaluation: Quantitative Methods and Practices. World Bank. Visit the webiste of the World Bank Group to download a free copy. License: CC BY 3.0 IGO.

  • Academic articles announced before the lectures.

Registration

Use Brightspace to register for every course. The programme will register the students in Usis based on the group division.

Contact

Dr. J.J. Kantorowicz j.j.kantorowicz@fgga.leidenuniv.nl

Remarks