A Rasch-model-based hierarchical framework for statistical literacy and learning

Danny L'Boy, Nazim Khan

Research output: Contribution to journalArticlepeer-review


Statistical literacy has a large and important role in the teaching of statistics. Most mathematics and statistics courses are hierarchical, and the earlier material forms the foundation for later material. We construct a hierarchical structure for an introductory statistics course using Rasch analysis of the student scripts for the final examination. This forms the basis of a statistical literacy construct that has wider implications than just an undergraduate course. The world is overwhelmed with data from an exponentially increasing number of sources. Such data is of various types and contexts, ranging from social, commercial, scientific, survey and human. Statistical literacy has therefore assumed a larger and more important role.
Original languageEnglish
Pages (from-to)1874-1887
Number of pages14
JournalInternational Journal of Mathematical Education in Science and Technology
Issue number9
Publication statusPublished - 2023


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