The Application of Psychometrics for Measuring Health Outcomes and Quality of Life (Part 1)

by The University of Sheffield Claim Listing

The aim of this two-day course is to provide participants with an introduction to psychometrics as applied to health. It will cover the core psychometric and statistical methods used in scale construction and the development of multi-item patient-reported outcome measures (proms).

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img Duration

2 Days

Course Details

The aim of this two-day course is to provide participants with an introduction to psychometrics as applied to health. It will cover the core psychometric and statistical methods used in scale construction and the development of multi-item patient-reported outcome measures (proms). 

There are currently no dates for this course. If you would like to register your interest, please complete this form and we will be in touch when new dates are released. This will not be before September 2024.

The course will be interactive and practical. Sessions will be delivered using lectures and individual and small group practical exercises using real-world examples.

Who will benefit from the course?

  • The course content is aimed at participants with no prior knowledge of psychometrics, or those who wish to refresh and gain more theoretical and practical knowledge in this area.
  • The course content is set at a basic/intermediate level. It will focus on classical methods of test construction and test of differential item function, but will also provide an introduction to modern psychometric methods such as Rasch models, item response theory and factor analysis for categorical data. It will be relevant to researchers, students, clinicians and other health care professionals and members of the pharmaceutical industry interested in using or developing PROMs.

Learning outcomes

By the end of this course participants should be able to:

  • Identify the key stages involved in scale construction and development
  • Understand the qualitative process involved in the development of a PROM and item generation
  • Describe the different ways of scoring and scaling a PROM and the theory underpinning these
  • Understand exploratory (EFA) and confirmatory (CFA) factor analysis and be able to carry out EFA using SPSS
  • Understand what is meant by reliability, validity, and responsiveness and be able to analyse and interpret these using SPSS
  • Explore the above concepts using datasets from a range of existing disease-specific and generic PROMs
  • Be aware of the use of different software other than SPSS where applicable.
  • Sheffield Branch

    Western Bank, Sheffield

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