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Title: Model-based Informal Inference
Contributor(s): Prodromou, Theodosia  (author)orcid 
Publication Date: 2017
Open Access: Yes
DOI: 10.5539/ijsp.v6n5p140Open Access Link
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Abstract: Following recent scholarly interest in teaching informal linear regression models, this study looks at teachers' reasoning about informal lines of best fit and their role in pedagogy. The case results presented in this journal paper provide insights into the reasoning used when developing a simple informal linear model to best fit the available data. This study also suggests potential in specific aspects of bidirectional modelling to help foster the development of robust knowledge of the logic of inference for those investigating and coordinating relations between models developed during modelling exercises and informal inferences based on these models. These insights can inform refinement of instructional practices using simple linear models to support students' learning of statistical inference, both formal and informal.
Publication Type: Journal Article
Source of Publication: International Journal of Statistics and Probability, 6(5), p. 140-147
Publisher: Canadian Center of Science and Education
Place of Publication: Canada
ISSN: 1927-7032
Field of Research (FOR): 130299 Curriculum and Pedagogy not elsewhere classified
010499 Statistics not elsewhere classified
130208 Mathematics and Numeracy Curriculum and Pedagogy
Socio-Economic Outcome Codes: 930199 Learner and Learning not elsewhere classified
939999 Education and Training not elsewhere classified
930399 Curriculum not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Education

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