Dr Anju Keetharuth from HEDS will be leading the first part of a two part course on Application of Psychometrics for Measuring Health Outcomes and Quality of Life. It will cover the core psychometric and statistical methods used in scale construction and the development of multi-item patient-reported outcome measures (PROMs). Sessions will be delivered by ScHARR staff Professor John Brazier, Anju and external staff Georgina Jones - Leeds Beckett University) and Jakob Bue Bjorner - Optum Patient Insights, who have an international reputation in psychometric methods and questionnaire development, analysis and interpretation. 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 this 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.
Course Materials
All course materials will be provided on a USB together with hard copies of handouts/exercises as required for the course.
Participants are asked to supply their own Laptop throughout the course. Participants will work on laptops using SPSS during the course. Working knowledge of SPSS would be beneficial but is not essential. If you do not have access to SPSS on your laptop, then a link to download will be provided prior to starting the course.
Further Learning (Advanced Part 2)
An advanced course will be run immediately following on from this course (Wednesday, 15th - Friday, 17th February 2017) which will cover Rasch models, item response theory, confirmatory factor analysis and factor analysis for categorical data in more detail using MPlus software.
Dates
PART 1 - 2.5-day course: Monday, 13th - Wednesday, 15th February 2017
PART 2 - 2.5-day course: Wednesday, 15th - Friday, 17th February 2017
Times:
Start: Day 1 (Monday, 13th February 2017) - 9am for Registration & Refreshments with a prompt course start of 9:30am
Finish: Day 3 (Wednesday, 15th February 2017) - 1pm (with lunch provided)
FEES - Part 1
£990 - Early Bird Fee - For bookings received on or before Sunday, 11th December 2016
£1,290 - Standard Fee - For bookings received on or after Monday, 12th December 2016
FEES - Part 2
£840 - Early Bird Fee - For bookings received on or before Sunday, 11th December 2016
£1,140 - Standard Fee - For bookings received on or after Monday, 12th December 2016
FEES - Discounted Full Course
£1,540 - Early Bird Fee - For bookings received on or before Sunday, 11th December 2016
£1,850 - Standard Fee - For bookings received on or after Monday, 12th December 2016
NB: All fees do not include any accommodation. We do have a preferential rate at Halifax Hall for our delegates (subject to availability). Booking details and contact information will be automatically provided upon receipt of your online booking (a booking reference will be given along with the name and contact details of the person this should be booked directlywith, to ensure you receive our preferential rate of £65 per night/room).
Booking and Payment
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