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 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.