Measurement validity evaluates how well a test or measure accurately reflects the concept it is supposed to measure. Different types of validity, like face validity and content validity, assess this accuracy in various ways. For example, a test that predicts corporate crime can also predict street crime accurately. Content validity checks if a test covers all aspects of a concept, while criterion-related validity looks at how well a test predicts an external criterion. If a test can accurately predict future outcomes, it has predictive validity.