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Quantitative Methods - LAN00033M

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  • Department: Language and Linguistic Science
  • Module co-ordinator: Dr. Marton Soskuthy
  • Credit value: 10 credits
  • Credit level: M
  • Academic year of delivery: 2018-19

Module will run

Occurrence Teaching cycle
A Autumn Term 2018-19

Module aims

This module aims to give you a firm grounding in the theory and practice of quantitative data analysis, which you will be able to use in your own research.

Module learning outcomes

You will learn about a wide range of statistical techniques, which are essential for doing data-driven research and critically evaluating arguments based on quantitative data. You will also receive practice in applying these techniques to actual data using statistical software.


Task Length % of module mark
University - closed examination
Quantitative Methods
2 hours 100

Special assessment rules



Task Length % of module mark
University - closed examination
Quantitative Methods
2 hours 100

Module feedback

Information currently unavailable

Indicative reading

  • Langdridge, D. (2004). Research methods and data analysis in Psychology. Harlow, England: Pearson Education Limited.
  • Baayen, R. H. (2006). Analyzing linguistic data: A practical introduction to statistics using R. Cambridge: Cambridge University Press

The text will be supplemented by relevant reading which will be made available to students

The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.