Sensitivity in testing refers to which capability?

Sensitivity in testing refers to which capability?

• A. The test's ability to produce a negative result when the condition isn't present.
• B. The test's ability to produce a positive result when the condition is really present.
• C. The test's overall accuracy irrespective of condition.
• D. The test's consistency across raters.

Answer: (B)

Sensitivity measures how good a test is at identifying people who actually have the condition. It’s the true positive rate—the proportion of truly positive cases that the test correctly detects. In other words, when the condition is present, a highly sensitive test will usually return a positive result, meaning few false negatives. This contrasts with specificity, which is about correctly identifying those without the condition (true negatives). Overall accuracy is the overall proportion of correct results, combining both true positives and true negatives, while inter-rater reliability concerns how consistently different evaluators score results. The description of producing a positive result when the condition is really present best captures the idea of sensitivity.

Sensitivity measures how good a test is at identifying people who actually have the condition. It’s the true positive rate—the proportion of truly positive cases that the test correctly detects. In other words, when the condition is present, a highly sensitive test will usually return a positive result, meaning few false negatives.

This contrasts with specificity, which is about correctly identifying those without the condition (true negatives). Overall accuracy is the overall proportion of correct results, combining both true positives and true negatives, while inter-rater reliability concerns how consistently different evaluators score results. The description of producing a positive result when the condition is really present best captures the idea of sensitivity.