Products of SRTL

SRTL 10:

Special issue in ZDM on “Innovations in Statistical Modelling to Connect Data, Chance and Context.” The guest editors of this Special issue are: Maxine Pfannkuch and Stephanie Budgett, Auckland University, New Zealand; and Dani Ben-Zvi, Haifa University, Israel.


Special issue in Statistics Education Research Journal (SERJ)


Reasoning about Uncertainty: Learning and Teaching Informal Inferential Reasoning.
By A. Zieffler and E. Fry (Eds.). Catalyst Press.

Special issue in Educational Studies in Mathematics (March 2015, 88, 3):

Ben-Zvi, D., Bakker, A., & Makar, K. (2015). Learning to reason from samples. Educational Studies in Mathematics, 88(3), 291-303.

Konold, C, Higgins, T.,Russell, S. J.,Khalil, K. (2015). Data seen through different lenses. Educational Studies in Mathematics, 88(3),305-325.

Garfield, J., Le, L., Zieffler, A., Ben-Zvi, D. (2015). Developing students’ reasoning about samples and sampling variability as a path to expert statistical thinkingEducational Studies in Mathematics, 88(3), 327-342.

Pfannkuch, M., Arnold, P., & Wild, C. J. (2015). What I see is not quite the way it really is: students’ emergent reasoning about sampling variability. Educational Studies in Mathematics, 88(3), 343-360.

Meletiou-Mavrotheris, M., Paparistodemou, E. (2015). Developing students’ reasoning about samples and sampling in the context of informal inferences. Educational Studies in Mathematics, 88(3), 385-404.

Ainley, J., Gould, R., & Pratt, D. (2015). Learning to reason from samples: commentary from the perspectives of task design and the emergence of “big data”. Educational Studies in Mathematics, 88(3), 405-412.

Noll, J., Hancock, S., (2015). Proper and paradigmatic metonymy as a lens for characterizing student conceptions of distributions and sampling. Educational Studies in Mathematics, 88(3), 361-383.

Special issue Mathematical Thinking and Learning 2011 Volume 13, Numbers 1-2
ISSN 1098-6065,

The Role of Context in Developing Reasoning about Informal Statistical Inference
Katie Makar and Dani Ben-Zvi (Guest Editors)

The Role of Context in Developing Reasoning about Informal Statistical Inference
Katie Makar and Dani Ben-Zvi

Lessons from Inferentialism for Statistics Education
Arthur Bakker and Jan Derry

The Role of Context in Developing Informal Statistical Inferential Reasoning:A Classroom Study
Maxine Pfannkuch

The Role of Context Expertise When Comparing Data
Cynthia Langrall, Steven Nisbet, Edward Mooney, and Sinchai Jansem

Conceptual Challenges in Coordinating Theoretical and Data-centered Estimates of Probability
Cliff Konold, Sandra Madden, Alexander Pollatsek, Maxine Pfannkuch,Chris Wild, Ilze Ziedins, William Finzer, Nicholas J. Horton, and Sibel Kazak

Explanations and Context in the Emergence of Students’ Informal Inferential Reasoning
Einat Gil and Dani Ben-Zvi

Statistically, Technologically, and Contextually Provocative Tasks: Supporting Teachers’ Informal Inferential Reasoning
Sandra R. Madden

Authentic Practices as Contexts for Learning to Draw Inferences Beyond Correlated Data
Adri Dierdorp, Arthur Bakker, Harrie Eijkelhof, and Jan van Maanen

The Reasoning Behind Informal Statistical Inference
Katie Makar, Arthur Bakker, and Dani Ben-Zvi

Special issue Statistics Education Research Journal, Volume 7 Number 2, November 2008

Introducing the Special Issue on Informal Inference
Dave Pratt and Janet Ainley (Guest Editors)

Reasoning about Informal Statistical Inference: One Statistician’s ViewInvited
Allan J. Rossman

Statistical Cognition: Towards Evidence-Based Practice in Statistics and Statistics Education
Ruth Beyth-Maron, Fiona Fidler, and Geoff Cumming

A Framework to Support Research on Informal Inferential Reasoning
Andrew Zieffler, Joan Garfield, Robert delMas, and Chris Reading

Exploring Beginning Inference with Novice Grade 7 Students
Jane M. Watson

Developing Young Students’ Informal Inference Skills in Data Analysis
Efi Paparistodemou and Maria Meletiou-Mavrotheris

Local and Global Thinking in Statistics Inference
Dave Pratt, Peter Johnston-Wilder, Janet Ainley, and John Mason

Statistical Inference at Work: Statistical Process Control as an Example
Arthur Bakker, Phillip Kent, Jan Derry, Richard Noss, and Celia Hoyles

Special issue Statistics Education Research Journal, Volume 5 Number 2, November 2006

Reasoning about distribution: A complex process
Guest Editors: Maxine Pfannkuch and Chris Reading

The Concept of Distribution
Chris Wild

Comparing Box Plot Distributions: A Teacher’s Reasoning
Maxine Pfannkuch

An Emerging Hierachy of Reasoning About Distribution: From a Variation Perspective
Chris Reading and Jackie Reid

The Role of Causality in the Co-ordination of Two Perspectives on Distribution Within a Virtual Simulation
Theodosia Prodromou and Dave Pratt

Using Data Comparisons to Support a Focus on Distribution: Examining Preservice Teachers’ Understandings of Distribution When Engaged in Statistsical Inquiry
Aisling Leavy

Special issue Statistics Education Research Journal, Volume 3 Number 2, November 2004

Research on Reasoning about Variability: A Forward
Dani Ben-Zvi and Joan Garfield (Guest Editors)

Variability: One Statistician’s View
Rob Gould (Invited)

Strategies for Managing Statistical Complexity with New Software Tools
James Hammerman and Andee Rubin

Reasoning about Variability in Comparing Distributions
Dani Ben-Zvi

Reasoning about Shape as a Pattern in Variability
Arthur Bakker

Student Description of Variation while Working with Weather Data
Chris Reading

SRTL 1+2:
Ben-Zvi, D. & Garfield, J. (Eds.). The challenge of developing statistical literacy, reasoning, and thinking. Dordrecht, the Netherlands: Kluwer Academic Publishers.