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A statistical literacy hierarchy for interpreting educational system data

Citation

Pierce, R and Chick, H and Watson, J and Les, M and Dalton, M, A statistical literacy hierarchy for interpreting educational system data, Australian Journal of Education, 58, (2) pp. 195-217. ISSN 2050-5884 (2014) [Refereed Article]


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Copyright Statement

Copyright 2014 Sage Publications Ltd.

DOI: doi:10.1177/0004944114530067

Abstract

As a result of the growing use of state and national testing of literacy and numeracy among school students, there are increasing demands for teachers to interpret assessment data. In light of this, there is a need to provide benchmarks or a framework that identifies critical aspects of teachers’ understanding that are needed to interpret data effectively. In this study, 24 items from the Attitudes and Statistical Literacy Instrument are used with 704 teachers to provide a hierarchical scale of teacher ability to interpret these assessment data. Using an item response theory model for partial credit scoring, three levels of ability are identified, related to reading values, comparing values, and analyzing a data set as a single entity. Teacher ability is then compared across various demographic variables, such as number of years of teaching, main teaching grade levels, previous professional learning experience, last time statistics was studied, and gender. Implications are drawn for professional learning for teachers and for further research.

Item Details

Item Type:Refereed Article
Keywords:statistical literacy, teacher knowledge, national testing, interpreting school data
Research Division:Education
Research Group:Specialist Studies in Education
Research Field:Teacher Education and Professional Development of Educators
Objective Division:Education and Training
Objective Group:Teaching and Instruction
Objective Field:Teacher and Instructor Development
Author:Chick, H (Associate Professor Helen Chick)
Author:Watson, J (Professor Jane Watson)
ID Code:91237
Year Published:2014
Funding Support:Australian Research Council (LP100100388)
Web of Science® Times Cited:1
Deposited By:Education
Deposited On:2014-05-13
Last Modified:2017-12-14
Downloads:1 View Download Statistics

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