Assessment Methods in Statistical Education An International Perspective

Contributors. Foreword. Preface. Acknowledgements. PART A: SUCCESSFUL ASSESSMENT STRATEGIES. 1 Assessment and feedback in statistics (Neville Davies and John Marriott). 2 Variety in assessment for learning statistics (Helen MacGillivray). 3 Assessing for success: An evidence-based approach that promotes learning in diverse, non-specialist student groups (Rosemary Snelgar and Moira Maguire). 4 Assessing statistical thinking and data presentation skills through the use of a poster assignment with real-world data (Paula Griffiths and Zoe Sheppard). 5 A computer-based approach to statistics teaching and assessment in psychology (Mike Van Duuren and Alistair Harvey). PART B: ASSESSING STATISTICAL LITERACY. 6 Assessing statistical thinking (Flavia Jolliffe). 7 Assessing important learning outcomes in introductory tertiary statistics courses (Joan Garfield, Robert delMas and Andrew Zieffler). 8 Writing about findings: Integrating teaching and assessment (Mike Forster and Chris J. Wild). 9 Assessing students’ statistical literacy (Stephanie Budgett and Maxine Pfannkuch). 10 An assessment strategy to promote judgement and understanding of statistics in medical applications (Rosie McNiece). 11 Assessing statistical literacy: Take CARE (Milo Schield). PART C: ASSESSMENT USING REAL-WORLD PROBLEMS. 12 Relating assessment to the real world (Penelope Bidgood). 13 Staged assessment: A small-scale sample survey (Sidney Tyrrell). 14 Evaluation of design and variability concepts among students of agriculture (Marıa Virginia Lopez, Mar´ıa del Carmen Fabrizio and Mar´ıa 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 (Neville Hunt). 18 An adaptive, automated, individualised assessment system for introductory statistics (Neil Spencer). 19 Random computer-based exercises for teaching statistical skills and concepts (Doug Stirling). 20 Assignments made in heaven? Computer-marked, individualised coursework in an introductory level statistics course (Vanessa Simonite and Ralph Targett). 21 Individualised assignments on modelling car prices using data from the Internet (Houshang Mashhoudy). References. Index.