2003
DOI: 10.52041/serj.v2i2.553
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Statistical Literacy: A Complex Hierarchical Construct

Abstract: The aim of this study was, first, to provide evidence to support the notion of statistical literacy as a hierarchical construct and, second, to identify levels of this hierarchy across the construct. The study used archived data collected from two large-scale research projects that studied aspects of statistical understanding of over 3000 school students in grades 3 to 9, based on 80 questionnaire items. Rasch analysis was used to explore an hypothesised underlying construct associated with statistical literac… Show more

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Cited by 158 publications
(48 citation statements)
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“…Questionnaires completed during pilot testing were excluded from the final analysis. Internal consistency and reliability of the questionnaire was assessed by estimating an Cronbach’s alpha value of 0.70, which was considered as acceptable [ 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…Questionnaires completed during pilot testing were excluded from the final analysis. Internal consistency and reliability of the questionnaire was assessed by estimating an Cronbach’s alpha value of 0.70, which was considered as acceptable [ 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…For this report, only the 12 items mainly addressing PCK are considered. These PCK items were based on student survey items used in earlier studies (e.g., Watson & Callingham, 2003) so that data were available about students' actual responses. The first set of eight items, based on three actual media articles in the Australian context, asked teachers to predict a range of responses their students might produce if presented with a question, and then to explain how they might use the question in their classrooms, including how they might intervene to address inappropriate responses.…”
Section: Instrumentmentioning
confidence: 99%
“…A second model, the Statistical Literacy Construct from Watson and Callingham (2003) builds on the Structure of Observed Learning Outcomes (SOLO) taxonomy developed by Biggs and Collins (1982) to hierarchize statistical thinking into six stages of skills, that can be viewed as a progression of levels of statistical understanding 5 . The strength of this model is that its statistical literacy scale has been widely validated by researchers, based on responses from a large number of students in Australia.…”
Section: Empirical Frameworkmentioning
confidence: 99%
“…The strength of this model is that its statistical literacy scale has been widely validated by researchers, based on responses from a large number of students in Australia. At the top two levels of the Watson and Callingham, (2003) construct, students display skills matching the critical-thinking skills of the third tier of the Statistical Literacy Hierarchy in Biggs and Collins (1982). This model of measuring statistical literacy was born to solve the lack of research proposing methods to measure students' progress --despite statistical literacy being part of the school curriculum.…”
Section: Empirical Frameworkmentioning
confidence: 99%
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