@article{d40c6d7795e24d77af432823bce9b19f,
title = "Conceptualizing a framework for analysing college statistics textbooks in terms of text accessibility",
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.",
keywords = "College statistics, Content area reading, Statistics education research, Text accessibility, Textbook analysis",
author = "Yang, {Kai Lin} and Khairiani Idris",
note = "Funding Information: This paper is part of a research project funded by the Ministry of Science and Technology (MOST 104-2511-S-003 -006 -MY3). Please note, the views and opinions expressed in this paper are those of the authors and not necessarily those of the MOST. Publisher Copyright: {\textcopyright} International Association for Statistical Education (IASE/ISI), June, 2021",
year = "2021",
doi = "10.52041/SERJ.V20I1.102",
language = "English",
volume = "20",
pages = "1--16",
journal = "Statistics Education Research Journal",
issn = "1570-1824",
publisher = "International Association for Statistical Education (IASE)",
number = "1",
}