Final answer:
Validity refers to how accurately an instrument measures the intended criterion, such as job success, which is different from reliability, the consistency of a measure. A measure can be reliable without being valid, but a valid measure is always reliable. Correlation assesses the strength of relationship between variables but doesn't confirm validity.
Step-by-step explanation:
The term that refers to how much a predictor relates to a criterion, which is some measure of job success, is known as validity. Validity is the degree to which a given instrument or tool accurately measures what it's supposed to measure.
This is different from reliability, which is the consistency of a measure, meaning a reliable measure produces the same results under the same circumstances.
However, a measure can be reliable without being valid if it consistently produces consistent but incorrect results. The correlation coefficient, often represented by r, is related to both reliability and validity, as it measures the strength and direction of the linear relationship between two variables, but it does not confirm if the measure is accurately assessing what it intends to.