- Department: Language and Linguistic Science
- Credit value: 20 credits
- Credit level: M
- Academic year of delivery: 2024-25
- See module specification for other years: 2023-24
In this module, you will learn how to do statistical analysis for linguistic research and use the R programming language.
Occurrence | Teaching period |
---|---|
A | Semester 2 2024-25 |
This module provides a firm grounding in the theory and practice of quantitative data analysis. It focuses on developing skills and knowledge in data management, visualisation and statistical modelling through the analysis of linguistic data sets. A key element of the module is training in the R statistical software environment, providing the tools for students to develop the skills to use R independently for quantitative analysis in dissertation research. Further, the module aims to foster quantitative literacy in general, helping students become critical consumers of arguments based on numbers, both in linguistics and beyond.
By the end of the module, you will be able to:
Throughout the module, you will attend one lecture per week and one practical per week. The lecture focuses on developing statistical thinking and learning the concepts behind statistical analysis. The practical is devoted to learning the R programming language and applying statistical analysis to data. In your private study time, you should read the assigned readings, prepare and practice practical exercises, finish any tasks that you do not manage to complete in class during practicals, complete formative assignments and work on summative assignments.
Task | % of module mark |
---|---|
Essay/coursework | 40 |
Essay/coursework | 60 |
None
Task | % of module mark |
---|---|
Essay/coursework | 60 |
Essay/coursework | 40 |
For formative assessments, students will receive group-level feedback and an approximate mark. For summative assessments, students will receive individual feedback.
Langdridge, D. and Hagger-Johnson, G. (2013). Introduction to Research Methods and Data Analysis in Psychology. Pearson Education, Harlow, UK, 3rd edition (you may use the 2nd edition).
Navarro, D. (2019). Learning statistics with R: A tutorial for psychology students and other beginners. (Version 0.6.1). https://learningstatisticswithr.com/book/index.html