General Information
| Course Code | S_QRMP |
|---|---|
| Credits | 6 EC |
| Period | P1 |
| Course Level | 200 |
| Language of Tuition | English |
| Faculty | Faculty of Social Sciences |
| Course Coordinator | dr. C. Wang |
| Examiner | dr. C. Wang |
| Teaching Staff |
E.J.P. Zwarthoed MSc dr. C. Wang R.D.A. Endtz S.M.O. Ornstein |
|
Part of programme(s)
Bachelor
Use the arrow keys to navigate the list, Enter to select, and Escape to close.
|
|
Practical Information
You need to register for this course yourself. The (de)registration deadlines can be found on VU.nl
| Teaching Methods | Study Group*, Lecture |
|---|
*You cannot select a group yourself for this teaching method, you will be placed in a group.
Course Objective
Learning outcomes
Knowledge and understanding - The student has acquired knowledge and understanding of:
- The foundations of quantitative research methodologies and their application in answering social and political science questions.
- Basic descriptive and inferential statistics, including linear regression and prediction, emphasising the use of statistical software R.
- Theoretical and practical aspects of causal inference.
Skills - The student is able to
- Analyse and interpret quantitative data effectively using statistical tools and software.
- Construct and evaluate research designs that accurately address social scientific questions.
- Synthesise research findings into coherent, scientifically and methodologically sound reports that are understandable to both academic and non-academic audiences.
Attitude - The student will:
- Cultivate a critical approach to assessing both their research and existing literature, recognising the ethical implications and limitations of their methodological choices.
- Embrace the role of a critical consumer of information, maintaining a lifelong commitment to data literacy and evidence-based reasoning.
Course Content
In an era in which quantitative data drives decision-making across sectors, this course equips students with the necessary tools to address questions in political science. The course aims to foster an understanding of how to apply data science techniques effectively. By bridging theoretical knowledge with practical skills in data analysis and causal reasoning, students will not only be prepared to engage with social science research but also gain a competitive edge in the data-driven job market. The goal is to cultivate a data literate generation of students capable of employing quantitative evidence to inform sound policy decisions.
Additional Information Teaching Methods
Lectures and seminars. Attendance in both is mandatory.
Method of Assessment
Tutorial participation and exam
Literature
To be announced in the course manual (see CANVAS)Custom Course Registration
In this course, you cannot enroll for one of the study groups yourself, but you will be assigned by the course coordinator. The allocation will be announced via Canvas. Please note: You do have to register for the course and the other course components on VU.nl.
Recommended background knowledge
Having succesfully passed the course Descriptive and Inferential Statistics