- Department: Health Sciences
- Credit value: 20 credits
- Credit level: M
- Academic year of delivery: 2023-24
- See module specification for other years: 2024-25
Have you ever wondered how we arrive at health related measurements and apply them in research? In this module you will learn about the theory and application of methods assessing variation arising from health related measurements within and between individuals, interpret measurement statistics for different types of data and compare measurements from different sources. These concepts will be introduced through their use in published papers, and you will get the opportunity to discuss their interpretation in weekly tutorials.
Occurrence | Teaching period |
---|---|
A | Semester 2 2023-24 |
This online module will convey the statistical principles behind health related measurements and their application in scientific research, including the critical appraisal of relevant publications.
By the end of the module, students will be able to:
Articulate the theory and application of variation arising from health related measurements within and between individuals.
Interpret measurement statistics for different types of data, agreement between measurements and prediction of health outcomes based on measurements.
Understand and applythe construction and evaluation of composite measurement scales.
Task | % of module mark |
---|---|
Online Exam -less than 24hrs (Centrally scheduled) | 100 |
None
Task | % of module mark |
---|---|
Online Exam -less than 24hrs (Centrally scheduled) | 100 |
Written cohort feedback for the summative assessment is provided on the standard proforma, within the timescale specified in the programme handbook.
Streiner, D.L. and Norman, G.R. (2015). Health measurement scales: a practical guide to their development and use. 5th edn. Oxford: Oxford University Press.
Bland, M. (2015). An Introduction to Medical Statistics. Oxford University Press.