Which of the following describes predictive validity?

Predictive validity refers to how well a test can forecast an individual's future performance in a specific role or task. It assesses the effectiveness of the test in predicting outcomes that are relevant to job performance. In other words, if a test has strong predictive validity, it means that those who score well on the test are likely to perform well in their job responsibilities, while those who score poorly may struggle. This concept is crucial in fields such as personnel selection, where the goal is to identify candidates who will excel in their roles.

This contrasts with other options. Correlating with existing tests of validity pertains to concurrent validity rather than predictive. Evaluating the content comparison with actual job tasks focuses on content validity, which examines whether the test covers the relevant material effectively. Lastly, the relationship between tests and demographic data relates more to potential biases or assessment fairness rather than predicting job performance. Therefore, the ability of a test to accurately forecast job performance is the essence of predictive validity.