This is one of a set of measures used to assess the accuracy of a diagnostic test (see sensitivity, negative predictive value and positive predictive value). Specificity is the proportion of people without a disease who are correctly identified as not having that disease by the diagnostic test. For example, if a test has a specificity of 95%, this means that it correctly identified 95% of the people who did not have the disease, but that 5% of people without the disease were incorrectly diagnosed as having the disease (these people were ‘false positives’ on the test).
Website overview: Since 1996 the Study Guides and Strategies Website has been researched, authored, maintained and supported as an international, learner-centric, educational public service.
Permission is granted to freely copy, adapt, and distribute individual Study Guides in print format in non-commercial educational settings that benefit learners.
Please be aware that the Guides welcome, and are under, continuous review and revision.
For that reason, digitization and reproduction of all content on the Internet can only be with permission through a licensed agreement. Linking to the Guides is encouraged!