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Individual rater scores and group mean scores were analyzed for each expert answer.
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For each of the 35 research questions and each criterion, each expert answered three questions targeted to assess the likelihood of the proposed research to comply with the priority setting criterion (see Additional file 2).
For the full duplicate season, we studied, for each expert, if the same answers were given for the two graphs.
This study describes the development and use of a quality assessment tool for expert answers to lay questions within the ECORN-CF Internet platform.
This study describes the development and use of a quality assessment tool for expert answers provided on an Internet platform as part of the ECORN-CF project.
Number of answers for each expert d.
a Multiple answers for each expert are possible.
In order to evaluate the answers coherence of each expert we studied the differences between the modes and the individual answers, for each expert, and calculated for each expert the standard deviation (SD) of these differences.
For each rater, the percentage of expert answers scored with the same grade on the two occasions and one or two grades lower or higher were calculated.
Numbers that are voted up and voted down for each expert e. Number of questions posed by each expert.
There was a discrepancy of one grade between the highest and lowest grade given from one or more raters (e.g. "good" was the highest grade and "satisfactory" was the lowest grade given for the respective answer) in 50% of expert answers for content quality and in 38% of expert answers for formal quality.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com