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Exploring the various interpretations of "test bias"
Russell T Warne1, Myeongsun Yoon2, Chris J Price1
1Department of Behavioral Science, Utah Valley University.
Cultural Diversity & Ethnic Minority Psychology
|October 15, 2014
Summary
Test bias has multiple interpretations, but only some indicate actual bias. Understanding these distinctions is crucial for accurate test interpretation and fair use, especially for diverse examinees.
Area of Science:
- Psychometrics
- Educational Measurement
- Social Sciences
Background:
- Test bias is a significant concern, particularly for diverse examinee groups who may underperform on standardized tests.
- The term "test bias" encompasses various interpretations, leading to confusion and debate.
Purpose of the Study:
- To clarify the five distinct meanings of "test bias": mean group differences, differential predictive validity, differential item functioning, differing factor structures, and unequal consequences.
- To review the empirical and theoretical evidence for each interpretation of test bias.
- To differentiate between true forms of test bias and other phenomena.
Main Methods:
- Literature review and synthesis of empirical and theoretical evidence.
- Conceptual analysis of five common interpretations of "test bias".
Main Results:
- Mean group differences and unequal consequences are not actual forms of test bias.
- Differential predictive validity raises significant concerns regarding test bias.
- Differential item functioning and differing factor structures are also considered forms of test bias.
Conclusions:
- Accurate and precise use of the phrase "test bias" is essential.
- Standardized testing offers benefits for diverse examinees when bias is properly understood and addressed.
- Further research and careful consideration are needed to ensure fair and equitable testing practices.
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