Calculate a test item’s upper-minus-lower discrimination index from correct counts, or plan the minimum upper-group count for a target index. Pooled difficulty covers only the two entered groups; review bands are screening heuristics.
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Discrimination Index Formula
The following formula is used to calculate the Discrimination Index.
Variables:
- DI is the Discrimination Index
- U is the number of upper group students who answered correctly
- L is the number of lower group students who answered correctly
- N_U and N_L are the upper- and lower-group sizes. If both are N, the equal-size formula applies.
Divide each correct count by its own group size, then subtract the lower proportion from the upper proportion. For equal group sizes, this equals (U − L)/N. Use disjoint groups defined by overall test performance; a negative index warrants review of scoring, keying and item clarity.
What is a Discrimination Index?
A Discrimination Index is a statistical measure used in educational testing to determine the effectiveness of a particular question in differentiating between high and low scorers. It indicates how well a question can distinguish between students who have a good overall understanding of the tested subject and those who do not. A high discrimination index suggests that the question is effective at distinguishing between these groups, while a low index suggests it is not.
How to Calculate Discrimination Index?
The following steps outline how to calculate the Discrimination Index.
- First, determine the number of upper group students who answered correctly (U).
- Next, determine the number of lower group students who answered correctly (L).
- Next, determine the size of each group (N_U and N_L).
- Use DI = U/N_U − L/N_L, or (U − L)/N when the group sizes are equal.
- Finally, calculate the Discrimination Index.
- After inserting the variables and calculating the result, check your answer with the calculator above.
Example Problem :
Use the following variables as an example problem to test your knowledge.
U: number of upper group students who answered correctly = 45
L: number of lower group students who answered correctly = 30
N: total number of students in each group = 100. Thus DI = 45/100 − 30/100 = 0.15. Minimum-count planning uses max(0, ceiling[(target DI + lower proportion) × upper size]); the attainable index may exceed the target after rounding. This statistic alone does not establish item validity.
