Assessing Measurement Reliability and Validity
10 November 2023, 9:30 am–5:00 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: This course will be delivered in hybrid mode, i.e. the in-person lecture will be transmitted live on zoom. The face-to-face part of the hybrid courses will go ahead conditional on at least 5 participants registering for this mode of delivery. Few classes may be delivered exclusively online, so please check under the Future dates tab for clarification. The online part of the class will be supported by its own dedicated teaching staff (along with the lead lecturer), therefore participants can expect the same level of group and individual support as the face-to-face class. You will be able to choose your preferred mode of attendance (face-to-face or online) during registration.
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) £150.00 UCL Staff and Students £75.00 * UCL Alumni £75.00 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 10th of November 2023 9.30am - 5.00pm Book Now 11th of March 2024 9.30am - 5.00pm Book Now
^For those attending online, 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."