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This property yields that i) all estimated difficulty parameters are independent of the sample used for estimation (item parameter invariance), ii) all latent trait related parameters are also independent of the items used for estimation (person parameter invariance).
The difference between the estimated difficulty parameters was less than 0.06 for all items but one.
Interestingly, we found higher estimated difficulty levels in cases where a complication occurred.
The largest item position effect was −.037 for item 26, which had an estimated difficulty of −3.244.
The two patients in whom experienced difficulty was significantly lower compared to estimated difficulty were both AHs.
For the students who received passage 5 in the first position on the test, the estimated difficulty of the item becomes (- 2.228 + left( {1*.08} right) = - 2.148).
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How do the items differ in average estimated difficulties according to content? .
How do the items differ in average estimated difficulties according to content?
Finally, the ltm package was used to estimate difficulty parameters [Response thresholds (j)] and discrimination (a) of items.
We used the rating scale model (RSM) to estimate difficulty calibration for each item.
Moreover, in this group, RPD does not significantly affect the estimated item difficulty.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com