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Factor analysis revealed four sub-domains not scored separately: 'Note response or changes in body process', 'predict body reactions', 'sleep-wake cycle' and 'prediction of the onset of illness'.
On a different but relevant note, response results will differ on whether absolute or percentage differences are calculated.
Regular working hours (91%), degree leads to recognized job (91%) and job security (88%), on one hand, and academic knowledge (86%) and scientific knowledge (86%), on the other, were the items with the highest proportion of very important/important responses.> -wrap-foot> Note: response rate of 83% across eight responding dental schools.
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Allow students 3-4 minutos to write, then ask for volunteers to share their lists as you note responses on the classroom board.
Note: Responses have been lightly edited and condensed for clarity.
Note: Responses are not mutually exclusive.
Note: Responses were recorded on a binary scale.
Note: Responses recoded from Agree/Disagree/Unsure to Yes/No.
NOTE: Responses included -- not at all important; somewhat important; moderately important; very important; or essential.
Note: Responses recoded from 'Agree/Disagree/Unsure' to 'Correct/Incorrect'. n = 113.
Of note, responses were not observed in prostate cancer and colon cancer patients on the trial [54].
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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