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Which of the following is the best approach to minimizing or eliminating test bias?

  1. Using a single norm group for all test-takers

  2. Creating separate norm groups for different demographics

  3. Randomly assigning test-takers to different groups

  4. Adjusting scores after the test is taken

The correct answer is: Creating separate norm groups for different demographics

Creating separate norm groups for different demographics is the best approach to minimizing or eliminating test bias. This method acknowledges that various demographic groups may have different experiences, cultural backgrounds, and advantages that affect test performance. By establishing separate norm groups, the assessment can provide a more equitable comparison among individuals from different backgrounds. This means that scores are interpreted relative to a specific group’s average performance rather than a single, broad norm, which may disadvantage some groups. Separate norm groups allow for a more accurate representation of abilities, as they consider the unique contexts and challenges faced by different demographic segments. This approach leads to more valid conclusions about test-taker performance and skill levels, ensuring fairness in the testing process and helping to mitigate any inherent cultural biases that might exist within the assessment.