Postgraduate Course: Quantitative Methods in Linguistics MSc (LASC11182)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course is an introduction to study design, statistics and quantitative data analysis as commonly employed in linguistics, using the R software. |
| Course description |
The course will cover the basics of statistics and quantitative data analysis, how to design studies that effectively address the intended research questions and how to identify and avoid common pitfalls and questionable research practices. Students will learn the principles of visualising, summarising and modelling data and develop the practical skills necessary to perform such analyses in R. The course will draw examples from different branches of linguistics and will provide students with hands-on experience in Open Scholarship and Research practices.
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand general principles of data analysis, including summarising, visualising and modelling data.
- Develop state-of-the-art Open Scholarship practices for a more egalitarian, diverse, and inclusive scholarship.
- Conduct data analyses with the open software R.
|
Reading List
Winter, Bodo. 2019. Statistics for linguistics with R. 2nd edition.
McElreath, Richard. 2019. Statistical (Re)thinking. 2nd edition.
Wickham, Hadley and Mine Çetinkaya-Rundel and Garrett Grolemund. 2023. R for Data Science. https://r4ds.hadley.nz
Bruno Nicenboim, Daniel Schad, and Shravan Vasishth. 2023. An Introduction to Bayesian Data Analysis for Cognitive Science. https://vasishth.github.io/bayescogsci/book/ |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Stefano Coretta
Tel:
Email: |
Course secretary | Ms Sasha Wood
Tel:
Email: |
|
|
University Homepage