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A Primer on the Statistical Modelling of Learning Curves in Health Professions Education

التفاصيل البيبلوغرافية
العنوان: A Primer on the Statistical Modelling of Learning Curves in Health Professions Education
اللغة: English
المؤلفون: Pusic, Martin V. (ORCID 0000-0001-5236-6598), Boutis, Kathy, Pecaric, Martin R., Savenkov, Oleksander, Beckstead, Jason W., Jaber, Mohamad Y.
المصدر: Advances in Health Sciences Education. Aug 2017 22(3):741-759.
الإتاحة: Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Peer Reviewed: Y
Page Count: 19
تاريخ النشر: 2017
نوع الوثيقة: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Statistical Analysis, Models, Regression (Statistics), Medical Education, Teaching Methods, Allied Health Occupations Education, Competence, Medical Students
DOI: 10.1007/s10459-016-9709-2
تدمد: 1382-4996
مستخلص: 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.
Abstractor: As Provided
Number of References: 27
Entry Date: 2017
رقم الأكسشن: EJ1147015
قاعدة البيانات: ERIC
الوصف
تدمد:1382-4996
DOI:10.1007/s10459-016-9709-2