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Methods in Statistics and Linguistic Data Processing


Admission requirements

Basic mathematics and analytical abilities assumed.


This course provides an introduction to basic concepts and methods of descriptive and inferential statistics that are needed for the analysis of quantitative data in linguistics.
In particular, we will focus first on data exploration and the understanding of which method to apply to the different types of data sets in linguistics. We will explore specific methods necessary for the analysis of experimental designs covering among others linear and logistic regression, ANOVA, linear mixed models and non-parametric tests. The methods will be illustrated with practical examples in linguistics using varied research designs and data. Practical exercises will be done using the statistical analysis software R.

Course objectives

1.Students are able to understand basic concepts and terminology of statistics.
2. Students are able to recognize advanced statistical methods for the analysis of linguistic data.
3. Students are able to identify appropriate statistical analysis methods for a given data set.
3. Students obtain hands-on experience with the statistical analysis software R.
4. Students learn to report experimental results in written form.


The timetable is available on the MA Linguistics website.

Mode of instruction


Course Load

Attendance seminars: 26 hours
Preparation of bi-weekly assignments: 35 hours
Study of compulsory literature: 35 hours
Preparation of final exam: 44 hours

Assessment Method


Bi-weekly assignments and written final exam.


The final grade will be an average of the assignments (60%) and the final exam (40%). Assignments are mandatory and a pre-requisite to be eligible for the final exam.


Students who fail the course may resit the written exam.

Exam review

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.


Blackboard will be used for:

  • Uploading class content

  • Specifiying readings and homework guidelines

  • Creating Assignments

  • Announcements regarding lecture updates and homework assignments

Reading list

Field, A., Miles, J. & Field, Z. (2012). Discovering Statistics Using R.


Enrolment through uSis is mandatory.
General information about uSis is available on the website.

Students other than MA Linguistics need permission from the coordinator of studies before enrolling.


Dr. Leticia Pablos Robles

Please contact Student administration van Eyckhof