Computerized Adaptive Testing (CAT)

Data Science Methods

Computerized Adaptive Testing or CAT for short, is a method to assess patients’ self-report concepts (also known as constructs or latent variables). CAT systems present several advantages over traditional self-report scales. Below we outline the comparison between the two, how CAT systems work, and what you would need if you would like to create new CAT systems for clinical areas where they still don’t exist. Shortcomings of traditional scales and where CAT excels Most clinical research and quality safety improvement projects involve the use of self-report scales to measure constructs such as quality of life, depression, ability to perform activities of daily living, among others. [Read More]