When is a test considered to have high predictive validity?

A test is considered to have high predictive validity when it accurately forecasts future performance. Predictive validity refers to the extent to which a test predicts an individual's future performance or behavior in a specific context, such as academic success or job performance. It involves the correlation between test scores and criterion measures taken at a later time, thereby demonstrating that those who perform well on the test are likely to achieve favorable outcomes in the future.

This concept is particularly significant in fields like education and psychology, where assessments are used to predict how well individuals will perform in subsequent tasks or roles. For example, a cognitive ability test that can accurately project a person's success in a demanding job role showcases high predictive validity.

The other options, while related to assessment and testing, do not specifically address the notion of forecasting future performance. High correlation with related constructs pertains more to convergent validity, measuring a broad range of topics relates to content validity, and consistent administration across populations speaks to the reliability of the test rather than its predictive capabilities.