Data assessment self-reflections

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Coertjens, Liesje;Lesterhuis, Marije;De Winter, Benedicte;Goossens, Maarten;De Maeyer, Sven;Michels, Nele

Description

This folder contains a dataset (in csv format) for a study that applies comparative judgement to assess medical education students’ 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. see article https://doi.org/10.1080/10401334.2021.1877709

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

79%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Education

Field

Social Sciences

Domain

Social Sciences

Confidence Score

49%

Source

Scholar Data Model

Keywords

comparative judgement; reflective skills; reliability

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00