Admission requirements
This ResMa course is open to both MA and ResMA students. Basic knowledge of descriptive and inferential statistics (up to multiple linear regression) and basic skill in R as taught in the MA course “Statistics: Fundamentals of linear models” is assumed.
Description
In this course students will get familiar with advanced statistical techniques that are needed for most (res)MA theses in empirical linguistics. All these techniques can be seen as extensions of linear models. The following techniques will be covered: statistical power analysis, logistic regression, ordinal regression, Poisson regression and multilevel regression with normal and non-normal errors. For all techniques covered, the student will learn: (1) the statistical theory behind the technique (2) how to practically perform the technique in the programming language R and (3) how to interpret and report the results. Furthermore, for all techniques covered, the student will learn how to set the sample size to obtain adequate statistical power and replicable results.
The focus of the course is on the correct application of statistical theory and the correct interpretation of statistical results to answer research questions in linguistics, not on mathematics.
Students will acquire practical data analysis skills through several assignments that are imbedded in linguistics research using R.
The course consists of obligatory lectures and workgroups.
Course objectives
Learning goal 1: student is able to describe advanced linear models
Learning goal 2: student is able to use R software for advanced linear models
Timetable
The timetables are available through My Timetable.
Mode of instruction
Lectures and workgroups
Assessment method
(1) Exam (learning goal 1): 70% (2) Assignments (learning goal 2): 30%
Assessment
In order to pass, the final grade needs to be at least 6.
Resit
The exam can be retaken, the assignments cannot.
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.
Reading list
Winter, B. (2020). Statistics for linguists: An introduction using R. Routledge (electronically available at LUB)
Supplementary material provided on brightspace
Registration
Enrolment through MyStudyMap is mandatory.
General information about course and exam enrolment is available on the website.
Contact
For substantive questions, contact the lecturer listed in the right information bar.
For questions about enrolment, admission, etc, contact the Education Administration Office Reuvensplaats
Remarks
None.