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They indicate how well each item fits the Rasch model and let us to assess the unidimensionality of the set of items analyzed.
Once you've determined where each item fits, apply the following recommendations.
The response alternatives for each item are 'yes' and 'no' , depending on whether that item fits the individual's current situation.
RUMM 2020 provides so-called outfit statistics for each item, that indicate to what extent each item fits the model.
This refers to how well each item fits within the proposed scale and the appropriateness of the scaling assumptions.
Cronbach's alpha statistic was used to measure the extent to which each item fits into the subscale or overall scale to which it is allocated.
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Results: All items from the Oswestry except the pain item fit the Rasch model.
Finally, the item fit statistics, infit and outfit, were determined.
To judge the item fit, we inspected information-weighted (Infit) and unweighted (Outfit) mean squared residual-based item fit statistics.
Fig. 5 Operational item fit plot for a 2005 reading grade 12 item Figure 5 shows the operational item fit plot (PARPLOT) for the same item.
Significant P values for item fit indicate an item is not measuring tree-thinking.
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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