Assessment Methods in Statistical Education: An InternationalPerspective provides a modern, international perspective onassessing students of statistics in higher education. It is acollection of contributions written by some of the leading figuresin statistical education from around the world, drawing on theirpersonal teaching experience and educational research. The bookreflects the wide variety of disciplines, such as business,psychology and the health sciences, which include statisticsteaching and assessment. The authors acknowledge the increasinglyimportant role of technology in assessment, whether it be using theinternet for accessing information and data sources or usingsoftware to construct and manage individualised or onlineassessments. Key Features: * Presents successful assessment strategies, striking a balancebetween formative and summative assessment, individual and groupwork, take-away assignments and supervised tests. * Assesses statistical thinking by questioning students ability to interpret and communicate the results of theiranalysis. * Relates assessment to the real world by basing it on real datain an appropriate context.
* Provides a range of individualised assessment methods,including those that deter plagiarism and collusion by providingeach student with a unique problem to solve or dataset toanalyse. This book is essential reading for anyone involved in teachingstatistics at tertiary level or interested in statistical educationresearch.
Penny Bidgood, Faculty of Computing, Information Systems and Mathematics, Kingston University. Neville Hunt, Department of Mathematical Sciences, Coventry University and former Editor of Teaching Statistics and Treasurer of the Teaching Statistics Trust. Flavia Jolliffe, Institute of Mathematics, Statistics, and Actuarial Science, University of Kent.
Contributors. Foreword. Preface. Acknowledgements. PART A: SUCCESSFUL ASSESSMENT STRATEGIES. 1 Assessment and feedback in statistics (Neville Davies andJohn Marriott). 2 Variety in assessment for learning statistics (HelenMacGillivray). 3 Assessing for success: An evidence-based approach thatpromotes learning in diverse, non-specialist student groups(Rosemary Snelgar and Moira Maguire). 4 Assessing statistical thinking and data presentation skillsthrough the use of a poster assignment with real-world data(Paula Griffiths and Zoe Sheppard). 5 A computer-based approach to statistics teaching andassessment in psychology (Mike Van Duuren and AlistairHarvey). PART B: ASSESSING STATISTICAL LITERACY. 6 Assessing statistical thinking (Flavia Jolliffe). 7 Assessing important learning outcomes in introductory tertiarystatistics courses (Joan Garfield, Robert delMas and AndrewZieffler). 8 Writing about findings: Integrating teaching and assessment(Mike Forster and Chris J. Wild). 9 Assessing students statistical literacy (StephanieBudgett and Maxine Pfannkuch). 10 An assessment strategy to promote judgement and understandingof statistics in medical applications (Rosie McNiece). 11 Assessing statistical literacy: Take CARE (MiloSchield). PART C: ASSESSMENT USING REAL-WORLD PROBLEMS. 12 Relating assessment to the real world (PenelopeBidgood). 13 Staged assessment: A small-scale sample survey (SidneyTyrrell). 14 Evaluation of design and variability concepts among studentsof agriculture (Mar a Virginia Lopez, Mar' a delCarmen Fabrizio and Mar' a Cristina Plencovich). 15 Encouraging peer learning in assessment instruments(Ailish Hannigan). 16 Inquiry-based assessment of statistical methods in psychology(Richard Rowe, Pam McKinney and Jamie Wood). PART D: INDIVIDUALISED ASSESSMENT. 17 Individualised assessment in statistics (NevilleHunt). 18 An adaptive, automated, individualised assessment system forintroductory statistics (Neil Spencer). 19 Random computer-based exercises for teaching statisticalskills and concepts (Doug Stirling). 20 Assignments made in heaven? Computer-marked, individualisedcoursework in an introductory level statistics course (VanessaSimonite and Ralph Targett). 21 Individualised assignments on modelling car prices using datafrom the Internet (Houshang Mashhoudy). References. Index.