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Introductory Statistics Textbooks and the GAISE Recommendations

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Listed:
  • Peter K. Dunn
  • Michael D. Carey
  • Michael B. Farrar
  • Alice M. Richardson
  • Christine McDonald

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.

Suggested Citation

  • Peter K. Dunn & Michael D. Carey & Michael B. Farrar & Alice M. Richardson & Christine McDonald, 2017. "Introductory Statistics Textbooks and the GAISE Recommendations," The American Statistician, Taylor & Francis Journals, vol. 71(4), pages 326-335, October.
  • Handle: RePEc:taf:amstat:v:71:y:2017:i:4:p:326-335
    DOI: 10.1080/00031305.2016.1251972
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    References listed on IDEAS

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    1. Michael R. Harwell & Mary Lee Herrick & Deborah Curtis & Daniel Mundfrom & Karen Gold, 1996. "Evaluating Statistics Texts Used in Education," Journal of Educational and Behavioral Statistics, , vol. 21(1), pages 3-34, March.
    2. David S. Moore, 1997. "New Pedagogy and New Content: The Case of Statistics," International Statistical Review, International Statistical Institute, vol. 65(2), pages 123-137, August.
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