Define "predictive validity."

Predictive validity refers to the extent to which a measurement or assessment can accurately forecast outcomes in the future. This concept is crucial in evaluation contexts, as it demonstrates how well a test can inform about future performance or behaviors based on current scores. Essentially, if a test exhibits high predictive validity, it implies that individuals who score well on the test are likely to perform well in the future on the relevant criterion, such as academic success, job performance, or other relevant areas.

For instance, a college entrance exam that effectively predicts which students will succeed in their academic pursuits possesses strong predictive validity. The focus on future outcomes differentiates this concept from other forms of validity, such as content validity or criterion-related validity, which may not directly address the test's forecasting abilities.

In contrast, other options focus on different aspects of testing. While consistency, appropriateness for specific populations, and stability over time are important aspects of test validity and reliability, they do not pertain specifically to the ability to predict future performance based on current data.