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Author:   Jimmie Leppink
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.454kg
ISBN:  

9783030430818

ISBN 10:   3030430812
Pages:   264
Publication Date:   07 April 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Part I – Common Questions.- Chapter 1: Learning Processes.- Chapter 2: Study Designs.- Chapter 3: Statistical Learning.- Chapter 4: Anchoring Narratives.- Part II – Variable Types.- Chapter 5 – Pass/Fail and Other Dichotomies.- Chapter 6 – Multicategory Nominal Choices.- Chapter 7 – Ordered Performance Categories.- Chapter 8 – Quantifiable Learning Outcomes.- Part III – Variable Networks.- Chapter 9 – Instrument Structures.- Chapter 10 – Cross-Instrument Communication.- Chapter 11 – Temporal Structures.- Chapter 12 – Longitudinal Assessment Networks.- Part IV – Time Series.- Chapter 13 – Randomised Controlled Experiments.- Chapter 14 – Static and Dynamic Group Structures.- Chapter 15 – Progress Testing in Large Cohorts.- Chapter 16 – Small Samples and Case Studies.- Part V – Conclusion.- Chapter 17: General Recommendations. 

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Author Information

Jimmie Leppink (28 April 1983) obtained degrees in Psychology (MSc, September 2005 – July 2006, Cum Laude), Law (LLM, September 2007 – July 2008), and Statistics Education (PhD, September 2008 – March 2012) from Maastricht University, the Netherlands, and obtained a degree in Statistics (MSc, October 2011 – July 2012, Magna Cum Laude) from the Catholic University of Leuven, Belgium. He defended his PhD Thesis in Statistics Education in June of 2012, and was a Postdoc in Education (April 2012 – March 2017) and Assistant Professor of Methodology and Statistics (April 2017 – January 2019) at Maastricht University’s School of Health Professions Education. Since January 2019, he has been working as a Senior Lecturer in Medical Education at Hull York Medical School, which is a joint medical school of the University of Hull and the University of York. His research, teaching, and consulting activities revolve around applications of quantitative methods in Education, Psychology, and a broader Social Science context as well as the use of learning analytics for the design of learning environments, instruction, and assessment in Medical Education and the broader Higher Education.

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