ASSESSMENT OF INFORMAL AND FORMAL INFERENTIAL REASONING: A CRITICAL RESEARCH REVIEW

2019 ◽  
Vol 18 (1) ◽  
pp. 8-25
Author(s):  
MARIA GUADALUPE TOBÍAS-LARA ◽  
ANA LUISA GÓMEZ-BLANCARTE

As a contribution to the discussion on the assessment of informal inferential reasoning (IIR) and the transition from this to formal inferential reasoning (FIR), we present a review of research on how these two types of inferential reasoning have been conceptualized and assessed. Based on our review, we discuss the need to redefine the conceptions of IIR and FIR in order to create an integrated description of inferential reasoning that includes not only ideas of IIR and FIR, but also the whole activity of argumentation, which involves the production of both statistical and contextual reasons. Current descriptions of IIR and FIR list the facts that might be brought from data analysis to the process of inferential reasoning. The approach we propose considers how the facts, both statistical and contextual, can be used as arguments, leading to assessments of students’ inferential  reasoning focusing on articulating the statistical and contextual reasons students present to support an inference. First published May 2019 at Statistics Education Research Journal Archives

2017 ◽  
Vol 16 (1) ◽  
pp. 26-30
Author(s):  
SINCLAIR SUTHERLAND ◽  
JIM RIDGWAY

Statistical literacy involves engagement with the data one encounters. New forms of data and new ways to engage with data – notably via interactive data visualisations – are emerging. Some of the skills required to work effectively with these new visualisation tools are described. We argue that interactive data visualisations will have as profound an effect on statistical literacy as the introduction of statistics packages had on statistics in social science in the 1960s. Current conceptualisations of statistical literacy are too passive, lacking the exploration part in data analysis. Statistical literacy should be conceived of as empowerment to engage effectively with evidence, and educators should seek to move students along a pathway from using interactive data visualisations to building them and interpreting what they see. First published May 2017 at Statistics Education Research Journal Archives


2016 ◽  
Vol 15 (2) ◽  
pp. 62-80
Author(s):  
ANA HENRIQUES ◽  
HÉLIA OLIVEIRA

This paper reports on the results of a study investigating the potential to embed Informal Statistical Inference in statistical investigations, using TinkerPlots, for assisting 8th grade students’ informal inferential reasoning to emerge, particularly their articulations of uncertainty. Data collection included students’ written work on a statistical investigation as well as audio and screen records. Results show students’ ability to draw conclusions based on data, recognizing that these are constrained by uncertainty, and to use them to make inferences. However, few students used probabilistic language for describing their generalizations. These results highlight the need for working on probabilistic ideas within statistics, helping students to evolve from a deterministic perspective of inference to include uncertainty in their statements. First published November 2016 at Statistics Education Research Journal Archives


2004 ◽  
Vol 4 (3) ◽  
pp. 58-58
Author(s):  
Flavia Jolliffe ◽  
Iddo Gal

2014 ◽  
Vol 13 (1) ◽  
pp. 5-6
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

First published May 2014 at Statistics Education Research Journal Archives


2013 ◽  
Vol 12 (2) ◽  
pp. 84-87
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

Forthcoming IASE Conferences First published November 2013 at Statistics Education Research Journal Archives


2014 ◽  
Vol 13 (1) ◽  
pp. 77-79
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

Forthcoming IASE Conferences First published May 2014 at Statistics Education Research Journal Archives


2019 ◽  
Vol 18 (2) ◽  
pp. 94
Author(s):  
JENNIFER J. KAPLAN

Acknowledgment: We are grateful to the people who acted as referees for the Statistics Education Research Journal in the past year. First published November 2019 at Statistics Education Research Journal Archives  


2013 ◽  
Vol 12 (2) ◽  
pp. 2-3
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

First published November 2013 at Statistics Education Research Journal Archives


2020 ◽  
Vol 19 (3) ◽  
Author(s):  
JENNIFER. J KAPLAN

Welcome to the third issue of SERJ for 2020. First published December 2020 at Statistics Education Research Journal: Archives


2021 ◽  
Vol 19 (2) ◽  
pp. 4-6
Author(s):  
JENNIFER J. KAPLAN

First published June 2020 at Statistics Education Research Journal Archives


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