Which type of validity assesses how well a new test predicts results of a previously validated test?

Predictive validity refers to the extent to which a new test can accurately forecast outcomes on a previously validated test, typically measuring the same underlying concept or behavior over time. This form of validity is crucial when establishing the effectiveness of a new assessment tool, as it relies on the correlation between the new test's results and the results from an established benchmark.

In the context of evaluating tests, predictive validity is particularly important in settings where forecasting future performance or behaviors is necessary—such as educational assessments or psychological evaluations. By demonstrating predictive validity, a new test can establish itself as a reliable tool for measuring what it intends to measure, based on its ability to align with a proven standard.

Other types of validity serve different purposes. Concurrent validity evaluates how well a new test correlates with an existing measure taken at the same time. Convergent validity is focused on the degree to which a test correlates with other assessments that measure the same or similar constructs. Construct validity encompasses a broader evaluation of whether a test truly measures the theoretical construct it claims to assess. Each of these types provides valuable insights but does not specifically address the predictive aspect central to the question at hand.