ECTS: 1
Course leader: Katrine Rosendal Ehlers
Language: English
Graduate school: Faculty of Arts
Course fee: 0.00 DKK
Status: Course is open for application
Semester: Spring 2026
Application deadline: 18/12/2025
Cancellation deadline: 01/01/2026
Course type: Classroom teaching
Start date: 08/01/2026
Administrator: Andreas Mølgaard Laursen
Allocation of seats
You will automatically be placed on a waiting list. After the application deadline, seats will be allocated and all applicants will be notified whether or not they have been offered a seat.
Please have a look in our FAQ
https://phd.arts.au.dk/phd-courses/courses/faq-phd-courses
Course description
Much contemporary linguistic research relies on testing your hypothesis empirically. Whether you are doing corpus research, conducting questionnaire-based research, or examining natural language phenomena, statistical analyses of your findings are relevant in examining their validity. This course will serve as an introduction to statistical analysis and special attention will be given to elements of statistics that are especially interesting to linguists and language researchers. It provides an opportunity for students who seek to refresh their knowledge of quantitative methods as well as students who want to become familiar with the field for the first time.
Aim/Learning outcomes
The course aims to introduce students to several basic approaches to statistical analysis that are relevant for conducting research in linguistics.
- The student will be introduced to basic terminology such as mean, standard deviation, null-hypothesis, independent vs. dependent variables, p-values, t-tests, linear regression, ANOVA, confidence intervals, and more.
- The student will be able to evaluate different statistical approaches depending on the type of data and to consider the design of their own data collection with particular approaches to statistical analysis in mind.
- The student will be introduced to basic R syntax and how R can be used as meaningful tool for statistical analysis of linguistic data. Part of the course will be a code-along where participants work on doing simple statistical analyses of linguistic data in R. We will use the cloud service uCloud for programming, and students consequently do not need to install anything on their own computers.
Requirements for participation
None. The level of the course will fit PhD students who are interested in understanding and using (basic) statistical methods but who do not have much experience in the field themselves.
Target group/Participants
- The course is open to PhD students at any level who are interested in learning the basics of statistical analysis and applying these terms in practice in R.
Workload
- Course/ teaching hours: 2 consecutive days of teaching from 9 to 16, 14 hours of teaching in total.
- Preparation hours: 0
- Written assignments etc.: None
LanguageĀ
- English or Danish, depending on the participants in the course
Venue
- 8 January 2026. Jens Chr. Skous Vej 4 , 8000 Aarhus C. Building 1481, room 324
- 9 January 2026. Jens Chr. Skous Vej 4 , 8000 Aarhus C. Building 1481, room 324
Course dates:
- 08 January 2026 09:00 - 16:00
- 09 January 2026 09:00 - 16:00