Validity concerns whether the inferences drawn from test scores or instrument results are appropriate and meaningful for the intended purpose. If an instrument has high validity, there is strong evidence that it represents the construct it claims to measure. Different forms of validity, such as content, construct and criterion validity, focus on different types of evidence. Therefore, the accuracy described in the stem is correctly termed validity.
Option A:
Validity is central to measurement because a highly reliable instrument is not useful if it does not capture the right construct. Researchers gather validity evidence through expert judgment, correlations with other measures and analyses of internal structure. This emphasis on measuring what is intended matches the stem, so this option is correct.
Option B:
Reliability refers to consistency of measurement but does not guarantee that the right construct is being assessed. An instrument can be reliably wrong.
Option C:
Objectivity refers to the degree to which scoring and interpretation are free from personal bias, which supports reliability and validity but is not identical to measuring the intended construct.
Option D:
Feasibility concerns whether an instrument can be administered given constraints of time, resources and access, rather than whether it measures what it should.
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