There are options in Lertap 5 which make it possible to compare results from groups of respondents (such as students). Results for groups may be "broken out" on the basis of a test score, or on the basis of item responses. Lertap 5 presents tables and corresponding graphs.
A "DIF" analysis, differential item functioning, may also be undertaken using Lertap 5.
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How will Lertap 5 breakout scores by groups? Have a look at two examples which demonstrate how to get results for groups of test takers: a comparison of undergraduate student responses to a study-habits inventory; and looking at age differences on a test of science achievement.
What about getting "breakouts" for item responses? Well, you might take in an example from a national assessment of science achievement, showing how item responses differed by grade level. You could also admire another example: comparing item responses by private- and public-school students.
An example showing Lertap 5's support for DIF, differential item functioning, may be seen in this topic.