Model-based Informal Inference

Title
Model-based Informal Inference
Publication Date
2017
Author(s)
Prodromou, Theodosia
( author )
OrcID: https://orcid.org/0000-0002-0685-7756
Email: tprodrom@une.edu.au
UNE Id une-id:tprodrom
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Canadian Center of Science and Education
Place of publication
Canada
DOI
10.5539/ijsp.v6n5p140
UNE publication id
une:22180
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.
Link
Citation
International Journal of Statistics and Probability, 6(5), p. 140-147
ISSN
1927-7040
1927-7032
Start page
140
End page
147

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