Final answer:
The statement in the question is false. Validity refers to how accurately a test measures what it intends to measure, whereas reliability relates to the consistency of a test's results over multiple occasions. A measure can be reliable without being valid, but validity inherently includes reliability.
Step-by-step explanation:
The statement that validity is the extent to which a test produces similar results when administered on multiple occasions is false. Validity refers to the accuracy with which a test measures what it is intended to measure. In contrast, reliability is the concept that pertains to the consistency of a measure, meaning that the same results are produced given the same circumstances over multiple instances.
It's important to note that while a valid measure must also be reliable, a reliable measure is not necessarily valid. This distinction is critical in fields such as psychology, sociology, and any other domain where measuring and testing occur.
For example, suppose a kitchen scale displays consistent weight measurements for the same object over multiple uses. This consistency speaks to the scale's reliability.
However, if the scale is not calibrated correctly and the measurements are not the accurate weight of the objects, then the scale lacks validity. Researchers in various fields strive to use instruments and methods that are both reliable, thus replicating results over time, and valid, ensuring that they accurately measure what is intended.