Assessing Measurement Reliability and Validity
28 July 2022–29 July 2022, 9:30 am–1:00 pm
This course offers an introduction to the principles, methods of assessment, and the appropriateness of statistical analyses for different types of measurement validity and reliability. Particular focus is given to statistical assessment of reliability over time, context and rater.
Centre for Applied Statistics Courses
NOTE: Due to the coronavirus outbreak, all live courses will now be delivered online through a video feed. You can expect the same level of group and individual support as you would have received in our face-to-face courses.
Understanding and assessing reliability and validity are important when developing and using new tests and measurement tools. This course gives an introduction to the concepts of reliability and validity, how the two are associated, and the methods commonly used for assessing these factors in different data types and study designs. Knowledge of basic statistical concepts (e.g., p-values, confidence intervals) is beneficial for this course. The following topics will be covered during this one-day course:
- Types of validity
- Assessing validity of numeric and categorical outcomes
- Types of reliability
- Assessing reliability for numeric outcomes
- Bland-Altman Limits of Agreement
- Intraclass Correlation
- Assessing reliability for categorical outcomes
- Internal reliability of assessment measures
Computers are not required for this course.
External Delegates (Non-UCL) £150 UCL Staff, Students, Alumni £75 * Staff and Doctoral Students from ICH/GOSH FREE †
* Valid UCL email address and/or UCL alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university.
† Limited free spaces available. If there are no free places remaining, Staff and Doctoral Students from ICH/GOSH can still register at the UCL rate.
Finally, please note that no refunds will be given for non-attendance or cancellations made within 5 working days of the start of the course. For delegates attending courses on funded places, a £50 fee will be charged for late cancellation, non-attendance or partial-attendance.
- Future Dates
Dates Time Apply 28-29 July 2022 9.30am - 1.00pm^ Book Now
^We recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure the course can start promptly at 9.30am.
"Excellent course - reinforced self-learning. I liked the fact it wasn't software dependent - e.g. not 'Reliability using R' - but they still provided code for the major statistical packages. It was obvious that the lecturer had excellent knowledge on the subject. It was the first time that I had attended one of the CASC courses, and I wouldn't hesitate to attend one again."
"I really enjoyed the course as it was very well taught and presented"
"Really good presenter, clear slides and well-paced day. The content was very useful, but I had specific questions about this topic before I came and the presenter found time to answer them, which I really appreciated"
"Very useful course, presented clearly and coherently"
"I thought the presentation style was great and the content pitched appropriately."