What is the degree to which scores on a measure can predict performance on another measure called?

The term that describes the degree to which scores on a measure can predict performance on another measure is known as criterion validity. This concept is important in evaluating the effectiveness of a test or measurement, as it assesses how well one variable or set of scores can forecast or correlate with another established measure. For instance, if a new assessment designed to predict job performance aligns closely with actual performance metrics, it demonstrates strong criterion validity.

This type of validity is particularly useful in contexts where one wants to establish a clear link between a new instrument and an established benchmark, as it helps in confirming the practical utility of that instrument. This means that if researchers or practitioners are developing tests or measures intended to predict an outcome, they should focus on ensuring strong criterion validity to affirm that their results can accurately inform predictions in real-world situations.