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Next, similarities and differences between the two categorizations as a heuristic tool were used until agreement on the measurement levels existed (see Table 3).
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The absolute difference between these two estimates is approximately 13% of the average of the estimates provided by the two categorization methods.
Using the two categorization schemes, the six authors classified the list of 43 WePISMs.
For the Off-Peak scenario, the safety impacts obtained from the two categorization methods differ substantially.
The approach-bias is then derived from reaction-time (RT) differences between these two categorizations.
There was agreement between the two researchers about the categorization of dispensation applications in more than 90% of cases the first time round.
Categorizations between the two groups were compared for agreement aimed at identifying a common set of categories and their included attributes.
As stated earlier two categorizations for the interventions were used to organize the data.
If no agreement between the two researchers was noted in the assigned categorization, the case was reviewed by a third researcher (NL) who was blinded to the opinion of the other two researchers.
However, categorization results for these two studies were significantly different between the two methods.
There was perfect agreement for categorization of the disc to glaucomatous or non-glaucomatous between the two modalities and very good agreement on a five point glaucomatous grading scale.
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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