Overview
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.
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
- Kappa
- Internal reliability of assessment measures
- Correlation
Concessions
A 50% discount is available for UCL staff, students, alumni. If you're eligible for a discount, email ich.statscou@ucl.ac.uk before booking to be sent the discount code.
The course is available for free to those associated with the Institute of Child Health or Great Ormond Street Hospital, and UCL doctoral students. Please also email ich.statscou@ucl.ac.uk to gain a booking code.
Learning outcomes
At the end of the course, delegates will be in a much better position to develop, test and refine their own measurement tool relating to their own research. Furthermore, delegates will understand the implications of using imperfect measurements and thus be more qualified to perform critical appraisal of journal articles documenting quantitative and qualitative research. In particular, delegates will be able to:
- Understand the difference between reliability and validity of a measurement.
- Distinguish between different types of reliability and validity assessments and understand what the purpose of each is.
- Set up a reliability or validity study, with appreciation of the type of data required and other aspects of the study design.
- Perform reliability and/or validity assessments for both numeric and categoric measurements.
Find out about other statistics courses
CASC's stats courses are suitable for anyone requiring an understanding of research methodology and statistical analyses. The courses allow non-statisticians to interpret published research and/or undertake their own research studies.
Find out more about CASC's full range of statistics courses.
