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From eleven statements to which respondents could answer 'True', 'False' or 'Not sure' (table 1), a mean knowledge score was calculated (one point for a correct answer, 0 for an incorrect answer, answering not sure or providing no answer).
A score of 1 point was given for a correct answer (yes), while an incorrect answer (no) was given 0 points.
Participants were more likely to use exclusion for items with a correct answer than for personal judgments.
The Two-Parameter Logistic Model (2PLM) also aims to estimate the probability of a correct answer, but it also allows estimating the discrimination of the item (a).
For example: "Which school did Shaquille O'Neal attend?" A "shot clock" ticks while you ponder your answers, and the app responds with a rousing "Swish!" for a correct answer and "Air ball!" for a miss, along with the correct answer (Louisiana State University).
In the current implementation, the penalty for an incorrect answer is equal to the points for a correct answer.
In our implementation, we chose (sp=1), which indicates that the penalty for an incorrect answer is equal to the points for a correct answer.
Responses were scored 1 for a correct answer and 0 for an incorrect answer.
Six questions were scored "1" for a correct answer and "0" for incorrect answer.
Answers for the ACE tool were scored one for a correct answer and zero for an incorrect answer, for a maximum score of 15.
Duration of treatment and dosage were not required for a correct answer.
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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