SPR612 Statistics for language research
- ECTS Credits:
- 5
- Responsible department:
- Faculty of Humanities and Education
- Course Leader:
- Jean Nitzke
- Lecture Semester:
- Autumn
- Teaching language:
- The course will be taught in English
- Duration:
- 1 term
The course is connected to the following study programs
Teaching language
The course will be taught in EnglishPrerequisites
Students must be admitted to a relevant PhD programme.
Recommended prerequisites
Basic knowledge in empirical research on language.
Course contents
The aim of this course is to introduce statistical analysis of quantitative data in the field linguistics. The course will consist of an introduction to statistical analysis (Day 1), a presentation of one's own work (Day 2), and a workshop in R (Day 3).
Learning outcomes
After completing this course, students will be able to understand and evaluate statistical reports in scientific publications, investigate what kind of statistical methods are suitable for a certain data set, and analyse data collected for a linguistic research question.
Examination requirements
The course will award 5 ECTS to participants who participate on all three days and 3 ECTS to participants who participate on two elected days.
Day 1 (hybrid mode): Students will need to
- read the required literature before and after the course,
- complete all quizzes and tasks before and after the course,
- participate in all lectures and exercises.
Day 2 (on Campus): Students will need to
- give a presentation in class,
- send in the required preparations (2-3hours),
- participate in all lectures and exercises.
Day 3 (on Campus): Students will need to
- complete the required technical preparations (0.5-1hour),
- participate in all lectures and exercises,
- complete a project in R.
Teaching methods
The course will include lectures, student presentations with discussion, group work, and practical exercises. The first day will be held in hybrid mode (students can participate online or on Campus). However, it is highly recommended to attend in person. The other two days will be conducted solely in person.
Offered as Single Standing Module
Yes, subject to availability
Assessment methods and criteria
The participants are required to:
- submit required preparations in advance
- participate actively in lectures and exercises
- complete all quizzes and tasks before and after the course
- give a presentation in class
- complete the required technical preparations
- complete a project in R
All requirements must be approved as passed for a student to pass the course.