Assessment Methods in Statistical Education: An International Perspective
- Presents successful assessment strategies, striking a balance between formative and summative assessment, individual and group work, take-away assignments and supervised tests.
- Assesses statistical thinking by questioning students’ ability to interpret and communicate the results of their analysis.
- Relates assessment to the real world by basing it on real data in an appropriate context.
- Provides a range of individualised assessment methods, including those that deter plagiarism and collusion by providing each student with a unique problem to solve or dataset to analyse.
This book is essential reading for anyone involved in teaching statistics at tertiary level or interested in statistical education research.
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).