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Methods in Statistics and Linguistic Data Processing


Admission requirements



This course discusses methods of descriptive and inferential statistics that are needed for the analysis of quantitative data in linguistics. In particular, we focus on methods that are necessary for the analysis of experimental designs such as linear and logistic regression, ANOVA and linear mixed models. The methods will be linked to the practice of experimental research in linguistics with the use of real research designs and data.

Course objectives

  1. Students will be able to apply the basics of descriptive and inferential statistics for the analysis of quantitative data in linguistics.
    1. Students will be acquainted with advanced statistical methods for the analysis of experimental data.
    2. Students will get hands-on experience with state-of-the-art with statistical analysis software.
    3. Students will learn to report experimental results in written form.


The timetable will be available by June 1st on the website.

Mode of instruction


Course Load

Attending seminars: 26 hours
Studying the compulsory literature: 35 hours
Doing weekly assignments: 35 hours
Preparing for the exam: 44 hours

Assessment Method

Assignments and written exam,

Resit: students who fail the course may resit the written exam.


Blackboard will be used to provide students with an overview of current affairs, as well as specific information about (components of) the course.

Reading list

C. Butler (1985) Statistics in Linguistics
A. Field, J. Miles, Z. Field (2012) Discovering Statistics Using R
K. Johnson (2008) Quantitative Methods in Linguistics


Enrolment through uSis is mandatory.
When registering, students that are registered for the specialisation that this course belongs to, or the Research Master, take priority. The deadline for registration is August 15. All other students should contact the “coordinator of studies”:

General information about uSis is available in English and Dutch


Student administration Van Eyckhof