If an item analysis suggests that an item in a test is poor, and if that item is removed from the test, the reliability of the shorter test is likely to be
A) lower than the original reliability coefficient
B) reliability would not change, but validity would increase
C) higher than the original reliability coefficient
D) none of the above

Question

Quizplus · Accepted Answer

Removing a poor item from a test is likely to increase the reliability coefficient of the shorter test. This is because the poor item was contributing to measurement error, which decreases reliability. Removing it reduces the amount of measurement error in the test, leading to higher reliability.

If an Item Analysis Suggests That an Item in a Test