This course will cover the fundamental principles of quantitative analysis in the humanities. Students will get acquainted with various types of research methods encountered in the humanities and learn the difference between experimental vs non-experimental and qualitative vs quantitative research. They will learn about the most important concepts of descriptive statistics and graphical representation of data needed to describe and summarize a data set. We will discuss how to assess relationships between variables, and learn about the concepts of correlation and regression. This course aims at providing a theoretical knowledge about all these statistical concepts, but also practical training on how to generate these statistics using freely available statistical software. This course will also prepare students for the Statistics II course.
After successfully completing the course students will be able to:
differentiate basic types of research methods;
understand key concepts of descriptive statistics;
create graphs to represent a data set;
summarize a given data set;
perform basic data exploratory analysis.
The timetables are available through My Timetable.
Mode of instruction
Assignments: (30 percent of grade)
Final Exam: (70 percent of grade)
The final mark for the course is established by determining the weighted average. In order to pass the course, students must have a grade of at least 5.5 for both Assignments and the Final Exam.
A resit is possible for the Final Exam.
Inspection and feedback
How and when an exam review will take place will be disclosed together with the publication of the exam results at the latest. If a student requests a review within 30 days after publication of the exam results, an exam review will have to be organized.
All reading materials will be announced via Brightspace.
For substantive questions, contact the lecturer listed in the right information bar.
For questions about enrolment, admission, etc., contact the Education Administration Office: Reuvensplaats.
Attendance and active participation are obligatory. Students are required to prepare for and attend all sessions. The convenors need to be informed without delay of any classes missed for a good reason (i.e. due to unforeseen circumstances such as illness, family issues, problems with residence permits). The maximum of such absences during a semester is two. Being absent without notification and/or more than two times can result in exclusion from the term end exams and a failing grade for the course.