Buchcover von Predicting Performance
Buchtitel:

Predicting Performance

A contrastive analysis of the thinking styles of high and low performing medical students

LAP LAMBERT Academic Publishing (13.01.2011 )

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ISBN-13:

978-3-8433-8722-4

ISBN-10:
3843387222
EAN:
9783843387224
Buchsprache:
Englisch
Klappentext:
Contextualised within the Medical selection debate, this innovative research critically evaluates current approaches to medical selection. While current selection methods have been moderately effective in predicting academic performance in medical students, there is a paucity of substantiated factors predicting clinical success and satisfaction. There is also a gap in applying motivation research to the prediction of medical student outcomes. The organisational literature reveals that work motivation styles are predictive of performance, job satisfaction and role longevity, but they have not been previously studied with medical students. The book outlines compelling doctoral research which contrastively analyses and then explores the work motivation styles of the highest and lowest performing medical students at a large regional University in Australia. This book introduces medical selectors and educators to motivational measures that are predictive of medical student outcomes, a valid instrument for measuring these patterns and recommendations for further refining medical selection and training.
Verlag:
LAP LAMBERT Academic Publishing
Webseite:
https://www.lap-publishing.com/
von (Autor):
Marilyn Powell
Seitenanzahl:
216
Veröffentlicht am:
13.01.2011
Lagerbestand:
Lieferbar
Kategorie:
Medizin
Preis:
79,00 €
Stichworte:
Medical student selection, Medical Education, Medical student performance, Predicting performance, Predicting medical student performance, Predicting medical student clinical performance, Predictors of medical student performance, Predicting satisfaction in medical students, Building medical student performance, Coaching medical students to improve performance, Predictors of academic performance, Medical selection debate, Clinical overwhelm in medical students, Dissatisfaction in medical students, What makes a good medical student?, What makes a good doctor?, Motivation to become a doctor, The iWAM instrument, iWAM and Selection, Predicting job fit in medical students, Modelling excellent performance in medical students.

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