Conceptualizing a framework for analysing college statistics textbooks in terms of text accessibility

Kai Lin Yang, Khairiani Idris*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This article develops an analytical framework for analysing college (tertiary) statistics textbooks in terms of text accessibility by integrating the text, the reader, and the content into the framework. Five accessibility attributes of science texts were adapted to conceptualize the accessibility of statistics texts. For each accessibility attribute, two components were proposed by referring to the literature on the readability of mathematics texts as well as the characteristics of statistics. The feasibility of the framework is demonstrated by analysing sample statistics texts. The contributions and potential of the framework are discussed.

Original languageEnglish
Pages (from-to)1-16
Number of pages16
JournalStatistics Education Research Journal
Volume20
Issue number1
DOIs
Publication statusPublished - 2021

Keywords

  • College statistics
  • Content area reading
  • Statistics education research
  • Text accessibility
  • Textbook analysis

ASJC Scopus subject areas

  • Statistics and Probability
  • Education

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