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Data assessment self-reflections

<p>This folder contains a dataset (in csv format) for a study that applies&nbsp;comparative judgement to assess medical education students&rsquo; written self-reflections. As part of their portfolio assignment in the sixth year of medical school, 119 students (22 or 23 years old) wrote two self-reflections related to an experience during their fulltime clerkship period, choosing among a list of 10 topics. These self-reflections had previously been scored using a rubric based on the ALACT-model. The sample of 22 self-reflections was purposefully selected, taking into account the variation in obtained grades, in first rater and in the frequency with which topics were chosen. This set of self-reflections were assessed by a group of eight raters using comparative judgement.</p> <p>see article&nbsp;https://doi.org/10.1080/10401334.2021.1877709</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

Topics

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.