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One item from each pair was deleted from the sets (see Table 4, 3rd column under "causes for elimination").
Items which did not conform to simple structure were eliminated from four of six question sets (see Table 4, 2nd column under "causes for elimination").
A total of nine items from four of the question sets demonstrated measurement bias with regard to age or gender and so were eliminated (see Table 4, 4th column under "causes for elimination" and Table 5).
Items were eliminated from three of the six due to low item-total correlations (see Table 4, 1st column under "causes for elimination").> EFA, restricted to the number of factors that emerged in the PA, were conducted on the remaining items in each question set to identify the simple structure pattern that would be modeled by the IRT bi-factor analysis.
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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