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Mainly because of inconsistent responses, 102 (8.9%) cases were unclassifiable.
Two participants were excluded from analysis since they had missing information in all relevant questions and one more participant was excluded from further analysis because of inconsistent responses.
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This is a result of the test information being relatively low in that region (for the three subjects left to the center, the full set of items was needed because of inconsistent response behavior: they chose low categories for easy to endorse items and high categories for difficult to endorse items).
The number of response categories does not have much influence on the impact of inconsistent responses.
The proposed adjustment to Cronbach's alpha for correcting the effects of inconsistent responses facilitates the assessment of the impact of inconsistent responses on internal reliability.
An adjustment was proposed to Cronbach's alpha for correcting the effects of inconsistent responses when one can estimate a possible range for the percentage of inconsistent responses.
To assess the influence of inconsistent responses, we repeated all analyses excluding women with inconsistent responses, finding the same results as presented here.
An analytical exploration of the impact of inconsistent responses would be desirable.
It is used here to merely illustrate the impact of inconsistent responses on Cronbach's alpha.
We have not examined the impact of inconsistent responses on inference about Cronbach's alpha.
This recommendation is indeed also good to minimize the impact of inconsistent responses.
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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