MULTI2110 – Introduction to Statistical Analysis for Language Students
Course description
Schedule, syllabus and examination date
Course content
This course introduces students to fundamentals of statistical analysis of linguistic data. Students will learn the basics of statistical modeling with an emphasis on the (generalized) linear model framework. They will learn both exploratory techniques (such as descriptive statistics and data visualization) and hypothesis testing techniques such as linear and logistic regression within the null hypothesis significance testing framework. The entire course will use the open source softwares R and Rstudio. Importantly, students will also learn how to do data analysis in a way that is open and reproducible.
This class requires no prior statistical, mathematical, or coding background, but the content of this class is expected to serve as a solid foundation for more advanced statistical courses.
Learning outcome
Students will learn how to:
? understand fundamentals of statistical analysis
? use the statistical software R
? prepare data tables for further analysis
? visualize data
? explore data
? test hypotheses within the null-hypothesis-significance testing framework
? critically evaluate statistical results from published papers
Admission to the course
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Recommended previous knowledge
No specific prerequisites. If students decide to use R, they are expected to bring their laptops to classes for doing exercises and make sure that they have current versions of R and R-Studio on their laptops. SPSS is installed on university computers.
Overlapping courses
- 10 credits overlap with MULTI4110 – Introduction to Statistical Analysis for Language Students.
- 10 credits overlap with FLER2110 – Introduction to Statistical Analysis for Language Students (continued).
- 10 credits overlap with FLER4110 – Introduction to Statistical Analysis for Language Students (continued).
Teaching
2-hour classes for 14 weeks. The majority of classes will involve practical exercises with a computer to apply the knowledge acquired from the readings and self-study. One assignment will be offered every week. 8 assignments out of 12 (around 80%) will be needed to be completed and approved in order to be eligible to take the final exam.
Access to teaching
A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.
Examination
An 8-hour home exam.
The grading guidelines can be read at the Study Advisors office
Language of examination
The examination text is given in English, and you submit your response in English.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.