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Discussed with two experts in the domain of educational technology and 3 teachers in primary and secondary schools with rich teaching experiences in e-learning, 3 items are deleted.
Misfitting items are deleted starting with the most misfitting, based on their fit statistics or the presence of DIF.
In order to determine if the properties of a measure can be maintained when a substantial proportion of the items are deleted, we also developed an 8-item measure, with two items per domain, even though a measure of this length would not be suitable for within-domain analysis.
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Based on the Rasch Methodology, twenty items were deleted from the original scale.
A CFA for section 2 (response of significant other) resulted in acceptable GFI after 2 items were deleted.
These four items were deleted from NutriQoL®.
Based on the results of the item-level psychometric analyses, five items were deleted from the 19-item pilot version of the GRCD.
Subsequently, item fit of the 2PL model was analyzed, in which four items were deleted due to misfit (A25, A29, A48, A62).
Those items were deleted so that performance was analyzed for seven action questions and seven structure questions; the means appear in Fig. 2.
After these three items were deleted, the findings support a two-factor solution (Comparative Fit Index = 0.98, Standardized Root Mean Square Residual = 0.033, and Root Mean Square of Approximation = 0.094).
As a result, seven items were deleted because they were believed to be either irrelevant or confusing to the prospective respondents.
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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