Introductory statistics textbooks and the GAISE recommendations

Article


Dunn, Peter K., Carey, Michael D., Farrar, Michael B., Richardson, Alice M. and McDonald, Christine. 2017. "Introductory statistics textbooks and the GAISE recommendations." The American Statistician. 71 (4), pp. 326-335. https://doi.org/10.1080/00031305.2016.1251972
Article Title

Introductory statistics textbooks and the GAISE recommendations

ERA Journal ID770
Article CategoryArticle
AuthorsDunn, Peter K. (Author), Carey, Michael D. (Author), Farrar, Michael B. (Author), Richardson, Alice M. (Author) and McDonald, Christine (Author)
Journal TitleThe American Statistician
Journal Citation71 (4), pp. 326-335
Number of Pages10
Year2017
PublisherInforma UK (American Statistical Association)
Place of PublicationUnited States
ISSN0003-1305
1537-2731
Digital Object Identifier (DOI)https://doi.org/10.1080/00031305.2016.1251972
Web Address (URL)http://www.tandfonline.com/doi/full/10.1080/00031305.2016.1251972
Abstract

The six recommendations made by the Guidelines for Assessment and Instruction in Statistics Education (GAISE) committee were first communicated in 2005 and more formally in 2010. In this article, 25 introductory statistics textbooks are examined to assess how well these textbooks have incorporated the three GAISE recommendations most relevant to implementation in textbooks (statistical literacy and thinking; use of real data; stress concepts over procedures). The implementation of another recommendation (using technology) is described but not assessed. In general, most textbooks appear to be adopting the GAISE recommendations reasonably well in both exposition and exercises. The textbooks are particularly adept at using real data, using real data well, and promoting statistical literacy. Textbooks are less adept—but still rated reasonably well, in general—at explaining concepts over procedures and promoting statistical thinking. In contrast, few textbooks have easy-usable glossaries of statistical terms to assist with understanding of statistical language and literacy development. Supplementary materials for this article are available online.

Keywordsexercises, real data, statistical concepts, statistical literacy, statistical thinking
ANZSRC Field of Research 2020390499. Specialist studies in education not elsewhere classified
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Byline AffiliationsUniversity of the Sunshine Coast
Australian National University
School of Agricultural, Computational and Environmental Sciences
Institution of OriginUniversity of Southern Queensland
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