Related Experiment Video
Updated: May 25, 2025

Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
On concepts, constructs, measures, metrics, and the variable necessity of definitions
1Institute of Health Sciences Education, Lady Meredith House, McGill University, Room 304, 1110 Pine Avenue West, Montreal, QC, H3A 1A3, Canada. Meredith.Young@McGill.ca.
Abstract:
This commentary is a response to both Merkebu et al., (2024) and Ellaway and Patocka (2024) on the place and importance of definitions of key notions in health professions education (HPE). The author argues that definitions of key notions in HPE research, teaching, and assessment are both variably possible and variably useful. By differentiating across concepts, constructs, measures, and metrics, the author contextualizes the variable utility and necessity of definitions according to their intended use. While many conceptualizations of key notions peacefully co-exist in the current HPE literature, conflation across concepts, constructs, measures, and metrics lead to a fragmented literature base and problematic assumptions, operationalizations, and misattributions of some of our most closely held concepts.
Related Concept Videos
Natural and Artificial Concepts
SI Units: 2019 Redefinition
A standard set of units has been defined...
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...
Dimensional Analysis
Dimensional analysis allows us to analyze and compare physical quantities on a...
Nominal Level of Measurement
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
Concepts and Prototypes
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...

