General description
In this module, you will learn how to analyse linguistic data with R in Rstudio. The following topics are covered:
- Descriptive statistics
- The (standard) normal distribution
- The sampling distribution
- Interval estimation
- Null hypothesis significance testing
- The t-test
- The chi-squared test
- Univariate linear regression
As from 2024 onwards, this module can be followed together with module 1 Introduction to R in a complete Novice track for this Summer School.
Target audience
The course is aimed at linguistic researchers who have a background in statistics or who wish to refresh their basic skills and knowledge.
Course prerequisites
Participants should have the R skills as taught in module 1 Introduction to R of this Summer School. Participants are also expected to be familiar with basic file management skills, including an understanding of directory structures (i.e., downloading files, and moving or copying files between folders).
Course materials
All course materials will be provided online and include slides, R-scripts and Notebooks, exercises and solutions, datasets and further reading.
Teacher bio
Ludovic De Cuypere is currently an Associate Professor of English Linguistics at Vrije Universiteit Brussel and serves as a Research Support Officer at the Linguistics Department of Ghent University. He earned his PhD in Germanic Languages and Literature from Ghent University in 2007, with a dissertation on iconicity in language. His research has centred on alternating syntactic constructions, explored from various linguistic perspectives and in multiple languages. Dr. De Cuypere has contributed to theoretical and epistemological aspects of linguistic debates, along with aiding in the methodological design and statistical analysis of numerous studies. His work is published in esteemed journals such as Language Sciences, English Language and Linguistics, Revue Romane, Corpus Linguistics and Linguistic Theory, among others. An advocate for Open Science, he has released several datasets on TROLLing, a curated repository under DataverseNo.
Schedule
- Wednesday 15/07/2026, 14:00-15:30 & 16:00-17:30
- Thursday 16/07/2026, 9:00-10:30 & 11:00-12:30 & 14:00-15:30 & 16:00-17:30
- Friday 17/07/2026, 9:00-10:30 & 11:00-12:30 & 14:00-15:30 & 16:00-17:30
In addition to these contact hours this module expects max. 30 mins per day for self-study to revise the course content that was covered and to prepare for the next day.