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Usefulness of the DETECT program for assessing the internal structure of dimensionality in simulated data and results of the Korean nursing licensing examination.

Dong Gi SeoYounyoung ChoiSun Kim
Published in: Journal of educational evaluation for health professions (2017)
The DETECT program performed well in detecting the number of dimensions and in assigning items for each dimension. This result implies that the DETECT method can be useful for examining the internal structure of assessments, such as licensing examinations, that possess relatively many domains and content areas.
Keyphrases
  • quality improvement
  • healthcare
  • mental health
  • big data
  • machine learning