Which statement about mitigating bias should be used by using multiple measures, appropriate norms, and transparent reporting?

Which statement about mitigating bias should be used by using multiple measures, appropriate norms, and transparent reporting?

• A. Use only indirect questions.
• B. Rely on raw scores without normative comparison.
• C. Ignore test-taker comfort and privacy.
• D. Use multiple measures, appropriate norms, and transparent reporting.

Answer: (D)

Mitigating bias in assessment comes from a triangulated approach: using multiple measures, applying norms that match the test-taker’s background, and reporting findings transparently. When you draw information from different types of data—like structured interviews, performance tasks, and self-reports—you lessen the impact of any one instrument that might be biased toward a particular group and gain a more comprehensive view of the construct. Using appropriate norms ensures scores are interpreted against a relevant reference group, so differences due to background or context aren’t mistaken for authentic differences in ability or trait. Transparent reporting then lays out how the measures were developed, who was included in validation, reliability and validity evidence, limitations, and fairness considerations, enabling practitioners to interpret results accurately and ethically. Together, this approach reduces bias and supports fairer conclusions. Relying on a single method, raw scores without context, or ignoring comfort and privacy would maintain or amplify bias and undermine validity.

Mitigating bias in assessment comes from a triangulated approach: using multiple measures, applying norms that match the test-taker’s background, and reporting findings transparently. When you draw information from different types of data—like structured interviews, performance tasks, and self-reports—you lessen the impact of any one instrument that might be biased toward a particular group and gain a more comprehensive view of the construct. Using appropriate norms ensures scores are interpreted against a relevant reference group, so differences due to background or context aren’t mistaken for authentic differences in ability or trait. Transparent reporting then lays out how the measures were developed, who was included in validation, reliability and validity evidence, limitations, and fairness considerations, enabling practitioners to interpret results accurately and ethically. Together, this approach reduces bias and supports fairer conclusions. Relying on a single method, raw scores without context, or ignoring comfort and privacy would maintain or amplify bias and undermine validity.