In testing, which term describes a systematic preference that can bias results toward a particular group?

In testing, which term describes a systematic preference that can bias results toward a particular group?

• A. Bias
• B. Fairness
• C. Reliability
• D. Validity

Answer: (A)

Bias is a systematic preference that can tilt test results toward a particular group. In testing, bias means the assessment isn’t equally fair to all students; certain features of the test can advantage one group and disadvantage another, causing conclusions that reflect the bias rather than true ability. This can arise from item content that assumes experiences or knowledge more common to some groups, or from how the test is administered, scored, or interpreted. The aim is fairness and accuracy for everyone, which is why fairness, reliability, and validity are different ideas. Fairness is about giving all students an equal opportunity to show what they know; reliability is about the consistency of scores across occasions and scorers; validity is about whether the test measures what it’s supposed to measure. For example, a reading task that uses cultural references unfamiliar to some English learners can bias results toward those with more exposure to those references, even if all students have similar reading skills.

Bias is a systematic preference that can tilt test results toward a particular group. In testing, bias means the assessment isn’t equally fair to all students; certain features of the test can advantage one group and disadvantage another, causing conclusions that reflect the bias rather than true ability. This can arise from item content that assumes experiences or knowledge more common to some groups, or from how the test is administered, scored, or interpreted. The aim is fairness and accuracy for everyone, which is why fairness, reliability, and validity are different ideas. Fairness is about giving all students an equal opportunity to show what they know; reliability is about the consistency of scores across occasions and scorers; validity is about whether the test measures what it’s supposed to measure. For example, a reading task that uses cultural references unfamiliar to some English learners can bias results toward those with more exposure to those references, even if all students have similar reading skills.