ERIC Number: EJ1147015
Record Type: Journal
Publication Date: 2017-Aug
Abstractor: As Provided
A Primer on the Statistical Modelling of Learning Curves in Health Professions Education
Pusic, Martin V.; Boutis, Kathy; Pecaric, Martin R.; Savenkov, Oleksander; Beckstead, Jason W.; Jaber, Mohamad Y.
Advances in Health Sciences Education, v22 n3 p741-759 Aug 2017
Learning curves are a useful way of representing the rate of learning over time. Features include an index of baseline performance (y-intercept), the efficiency of learning over time (slope parameter) and the maximal theoretical performance achievable (upper asymptote). Each of these parameters can be statistically modelled on an individual and group basis with the resulting estimates being useful to both learners and educators for feedback and educational quality improvement. In this primer, we review various descriptive and modelling techniques appropriate to learning curves including smoothing, regression modelling and application of the Thurstone model. Using an example dataset we demonstrate each technique as it specifically applies to learning curves and point out limitations.
Descriptors: Statistical Analysis, Models, Regression (Statistics), Medical Education, Teaching Methods, Allied Health Occupations Education, Competence, Medical Students
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A
Grant or Contract Numbers: N/A