In computing item discrimination indices, the best strategy from a statistical point of view is to comparea.“A” students versus failing studentsb.those above the median versus those belowc.those with T scores of above 50 versus below 50d.upper 27% versus the lower 27%
Question
In computing item discrimination indices, the best strategy from a statistical point of view is to comparea.“A” students versus failing studentsb.those above the median versus those belowc.those with T scores of above 50 versus below 50d.upper 27% versus the lower 27%
Solution
The best strategy from a statistical point of view when computing item discrimination indices is to compare those above the median versus those below. This method is the most effective because it divides the group into two equal halves, allowing for a more accurate comparison. It also reduces the impact of outliers or extreme scores which can skew the results. This method is more reliable and provides a better understanding of the item's ability to discriminate between those who do well and those who do not.
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