What is measurement bias and how can it be mitigated in selection and interpretation?

What is measurement bias and how can it be mitigated in selection and interpretation?

• A. It refers to systematic errors that affect some groups differently; mitigate through fairness reviews, cultural competence, DIF analysis, and using multiple measures.
• B. It is random error that cannot be controlled.
• C. It is a valid aspect of measurement that should be maximized.
• D. It is the same as test validity.

Answer: (A)

Measurement bias refers to systematic errors that affect some groups differently, leading to unfair differences in scores or interpretations that aren’t due to actual ability or trait. In selection and interpretation, this means a test might advantage or disadvantage individuals because of language, culture, socioeconomic status, or other group characteristics rather than their true capabilities. To mitigate bias, engage in fairness reviews during test development and use in selection, bring in cultural competence in how tests are administered and interpreted, conduct differential item functioning analyses to detect items that behave differently for different groups, and rely on multiple measures rather than a single instrument to form decisions. This description captures what bias is and offers concrete, practical ways to reduce it; random error is uncontrollable and not about systematic group differences, and bias is distinct from validity or other measurement properties.