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STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION
Author(s) -
Ruth BeythMarom,
Fiona Fidler,
Geoff Cumming
Publication year - 2008
Publication title -
statistics education research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.538
H-Index - 14
ISSN - 1570-1824
DOI - 10.52041/serj.v7i2.468
Subject(s) - descriptive statistics , normative , evidence based practice , statistical inference , publication , psychology , cognition , educational research , statistics education , statistics , mathematics education , statistical analysis , computer science , epistemology , mathematics , medicine , philosophy , alternative medicine , pathology , neuroscience , advertising , business
Practitioners and teachers should be able to justify their chosen techniques by taking into account research results: This is evidence-based practice (EBP). We argue that, specifically, statistical practice and statistics education should be guided by evidence, and we propose statistical cognition (SC) as an integration of theory, research, and application to support EBP. SC is an interdisciplinary research field, and a way of thinking. We identify three facets of SC—normative, descriptive, and prescriptive— and discuss their mutual influences. Unfortunately, the three components are studied by somewhat separate groups of scholars, who publish in different journals. These separations impede the implementation of EBP. SC, however, integrates the facets and provides a basis for EBP in statistical practice and education.First published November 2008 at Statistics Education Research Journal: Archives

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