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The remaining items followed a similar distribution.
Assessment items followed a specific order.
Scores on the knowledge of delirium items followed a normal distribution.
The initial items followed a vignette of a 73-year-old white man with well controlled hypertension treated with amlodipine and hydrochlorothiazide who presented for routine follow-up.
All items followed a Likert scale ranging from 0 to 6, where: 0 - has not acquired any competence, 1 - has acquired the minimum competences... 6 - has acquired the maximum competences.
Additionally, errors were higher when items followed a pass-by or toward-avatar vector, as compared to their mirrored directions [movement direction: F 3, 39) = 5.78, p <.005, ηp =.31].
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Items follow a constructed-response format, requiring examinees to provide answers in a pre-specified structure.
The launch of these new items follows a similar move by Google to add more election-related features to its search engine, which debuted last month.
Within each of the sections 1 to 3, items follow a randomised sequence in order to avoid bias due to phenomena like "response set".
The items follow a 5-point Likert-type scale [ 13] with three different sets of responses: i) poor, fair, good, very good, excellent; ii) not at all, slightly, moderately, very, extremely; iii) never, seldom, quite often, very often, always.
Twelve items follow a stem ('Behaviour X is something…') and focus on three facets of automaticity – lack of awareness ('…I do without thinking'), lack of control ('…that would require effort not to do') and mental efficiency ('…I have no need to think about doing') – behavioural frequency ('…I do frequently') and self-identity ('…that's typically "me"').
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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