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At institution T, graduate students meet with the faculty instructors.
At institution O, the dean asked our interviewee to seek out a solution for high failure rates in an introductory class.
At institution C, a university administrator created a team for pragmatic design reasons: "[The administrator] didn't want to just [create a room] based on what one person wanted; he wanted to make sure to include it in terms of all the disciplines and different ways people might want to use it".
At Institution C, no regression coefficient was significant.
At Institution B, school performance contributes the most to the explained variance of the admission variables across the four levels.
At Institution B, school performance was significant across all four year levels, while Non-verbal Reasoning was significant for three years, although notably with negative regression coefficients.
At institution level, core components of the NHHI are alcohol-based handrub at the point-of-care, healthcare worker education, and HH auditing with performance feedback using the WHO '5 Moments' methodology.
At institution A, the vast majority of explained variance in Years 1 and 2 is explained by contributions from both UMAT components and Interview scores, although the association between the latter and GPA appears to be negative.
At Institution A, all 5 admissions measures were found to be significant (at the 0.05 level) in at least one of the three years, although only Logical Reasoning was significant across all three and Interview was negative.
The Goldwater rule is not about censoring analysis of personalities past or not asking for general comment, it's about doctor X at institution Y not saying, "Yes, celebrity Z definitely has anorexia nervosa, based on a paparazzi photograph and a habit of falling out of nightclubs".
Flick between the tabs on the interactive graphic below to view a gender breakdown at institution and subject level, as well as an overview of subject changes over the past five years How many males and females are on my campus?
Write better and faster with AI suggestions while staying true to your unique style.
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