A test that measures or predicts what it is supposed to is said to have a high degree of:

A test that accurately measures or predicts what it is intended to evaluate is said to have a high degree of validity. Validity refers to the extent to which a test actually assesses the specific concept or construct it claims to measure. When a test is valid, the results are meaningful and can be used to draw conclusions regarding the subject matter being measured.

For example, if an intelligence test is designed to measure cognitive ability, high validity would indicate that the scores obtained truly reflect an individual's intelligence rather than being influenced by extraneous factors. Validity can be further divided into types such as content validity, criterion-related validity, and construct validity, each contributing to the overall accuracy of the test in assessing what it is supposed to measure.

Other concepts, such as standardization, reliability, and the g factor, are important in the context of testing but focus on different aspects. Standardization involves ensuring that a test is administered and scored in a consistent manner across all test-takers. Reliability pertains to the consistency of test results over time or across different versions of the test. The g factor refers to the general intelligence factor that underlies various cognitive abilities, but it does not directly address whether a test accurately measures a specific trait or capacity. Thus, the high