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Measurement in Health & Disease - HEA00028M

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  • Department: Health Sciences
  • Module co-ordinator: Miss Ada Keding
  • Credit value: 10 credits
  • Credit level: M
  • Academic year of delivery: 2022-23
    • See module specification for other years: 2021-22

Module will run

Occurrence Teaching period
C Summer Term 2022-23

Module aims

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.

Module learning outcomes

At the end of the module, students will be able to:

  1. Understand the theory and application of variation arising from health related measurements within and between individuals.
  2. Understand and interpret measurement statistics for different types of data, agreement between measurements and prediction of health outcomes based on measurements.
  3. Understand the construction and evaluation of composite measurement scales.

Module content

Please note that this is a distance learning module with all materials and tutorials delivered online. Tutors will be available for support throughout the module. You will be required to be available on the specified date for the assessment.  

Sessions will cover:

  • Measurement Error
  • Observer Variation
  • Limits of Agreement
  • Agreement using Cohen’s Kappa
  • Composite Scales and Scores
  • Diagnostic Tests
  • Validity of measurement instruments

Assessment

Task Length % of module mark
Online Exam - 24 hrs (Centrally scheduled)
Measurement in Health & Disease		 N/A 100

Special assessment rules

None

Reassessment

Task Length % of module mark
Online Exam - 24 hrs (Centrally scheduled)
Measurement in Health & Disease		 N/A 100

Module feedback

Students are provided with collective exam feedback relating to their cohort, within the timescale specified in the programme handbook.

Indicative reading

  • Streiner, D.L. and Norman, G.R. (2003). Health measurement scales: a practical guide to their development and use. 3rd edn. Oxford: Oxford University Press.
  • Bland, M. (2015). An Introduction to Medical Statistics. Oxford University Press.


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.