If a measure is found to be valid by empirical evidence, then it can be assumed that it is also reliable.

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Validity refers to how well a test measures what it is supposed to measure, while reliability refers to the consistency of the test results. If a measure is valid (accurately measures the concept it intends to measure), it implies that it produces consistent results under consistent conditions, hence also indicating reliability. However, it's important to note that a measure can be reliable without being valid, but validity typically encompasses some level of reliability.

If a Measure Is Found to Be Valid by Empirical