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I am a bit confused by the current behaviour of MaxInfoSelector. I would expect it to select the item with the maximum fisher information given the current ability estimate, however it seems to instead select based upon where individual item response functions reach their maximum, ignoring the differences in scale on the y-axis between them . See e.g.:
Imagine there is a small distance on the x-axis between the peaks of the blue and the black curve. If I have an ability estimate at the peak of the black curve I would expect the next item chosen by MaxInfoSelector to be the blue one since it still has higher information even a bit away from its peak.
Basically, the behaviour I want is equivalent to RandomesqueSelector(bin_size=1) (which is what I've now moved onto --- temporarily at least) but the behaviour I actually get for the 2PL model is the same as UrrySelector.
What is the specification for MaxInfoSelector? The citation given is Lion 1977, but in that article there are no equations. If the current behaviour is the intended behaviour, maybe the documentation could make it clear since it's a bit surprising based on the current name/doc to me.
The text was updated successfully, but these errors were encountered:
Thanks for catching that. The behavior you want is what the selector should do, but is not doing. I believe the commit above as well as 9d26df2 should solve that.
I am a bit confused by the current behaviour of

MaxInfoSelector
. I would expect it to select the item with the maximum fisher information given the current ability estimate, however it seems to instead select based upon where individual item response functions reach their maximum, ignoring the differences in scale on the y-axis between them . See e.g.:(Figure taked from A Visual Guide to IRT https://www.metheval.uni-jena.de/irt/VisualIRT.pdf )
Imagine there is a small distance on the x-axis between the peaks of the blue and the black curve. If I have an ability estimate at the peak of the black curve I would expect the next item chosen by
MaxInfoSelector
to be the blue one since it still has higher information even a bit away from its peak.Basically, the behaviour I want is equivalent to
RandomesqueSelector(bin_size=1)
(which is what I've now moved onto --- temporarily at least) but the behaviour I actually get for the 2PL model is the same asUrrySelector
.What is the specification for
MaxInfoSelector
? The citation given is Lion 1977, but in that article there are no equations. If the current behaviour is the intended behaviour, maybe the documentation could make it clear since it's a bit surprising based on the current name/doc to me.The text was updated successfully, but these errors were encountered: