- 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’ll be learning fundamental aspects of experimental theory and getting experience with implementing and analysing psycholinguistic experiments. Our primary focus will be on methods and questions in language processing, but the principles covered should readily generalise to other domains. This module is designed to work in tandem with Advanced Topics in Language Processing and Quantitative Methods.
Pre-requisite modules
Co-requisite modules
- None
Prohibited combinations
- None
The prerequisites listed or approved equivalents are required for students who wish to take this module.
Occurrence | Teaching period |
---|---|
A | Semester 2 2024-25 |
The goal of this module is to get you acquainted with some of the primary methodologies in psycholinguistics and to help you better implement those methods when you need to use them. The module covers the following topics:
Fundamentals of experiment design
Fundamentals of linear regression
Self-paced reading and behavioural studies
Implementing internet-based experiments
Analysing data in R
The ultimate aim of this module is to equip you with the wherewithal to implement your experiment(s) for your master's dissertation. By the end of this module, you should have (i) an enhanced understanding of experimental theory (ii) greater facility with technical reporting in psycholinguistics, and (iii) experience implementing and analysing psycholinguistic experiments.
Sharpen research questions into experimentally testable predictions
Design a repeated-measures factorial experiment
Apply linear and/or logistic regression techniques to experimental data
Connect experimental manipulations to specific statistical tests
Implemented pilot experiment and sample statistical analysis
This module will cover topics including:
Repeated measures factorial experiment design
Linear and logistic regression
Mixed effects regression
Behavioural methods in psycholinguistics
Conducting experiments over the internet
Data analysis and visualisation in R
Task | % of module mark |
---|---|
Essay/coursework | 100 |
None
Task | % of module mark |
---|---|
Essay/coursework | 100 |
Formative assessment - Group feedback on sample stimuli and experiment implementation. Joint, worked-through pilot analysis.
Summative assessment - Annotation on submitted work
TBA