Content validity focuses on whether the items in a test represent the full range of important content areas and cognitive processes defined in the test blueprint. Experts review items to judge coverage and relevance. High content validity is especially crucial for achievement tests used for grading and selection. Therefore, the adequacy of domain sampling described in the stem is called content validity.
Option A:
Content validity is often enhanced by preparing a table of specifications that links objectives, topics and item types. When each important area is proportionately represented, the test better reflects the intended curriculum. This direct link to content coverage makes this option correct.
Option B:
Construct validity deals with the alignment of test scores with theoretical constructs and broader patterns of relationships, not simply the coverage of content topics.
Option C:
Face validity refers to the superficial appearance that a test measures what it claims to measure from the perspective of test-takers or laypersons; it is not a technical estimate of domain coverage.
Option D:
Predictive validity concerns how well test scores forecast future performance, such as success in a programme, and is unrelated to sampling of content topics.
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