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Vanpaemel, Wolf; Lee, Michael D. – Psychological Bulletin, 2012
Wills and Pothos (2012) reviewed approaches to evaluating formal models of categorization, raising a series of worthwhile issues, challenges, and goals. Unfortunately, in discussing these issues and proposing solutions, Wills and Pothos (2012) did not consider Bayesian methods in any detail. This means not only that their review excludes a major…
Descriptors: Classification, Program Evaluation, Bayesian Statistics, Models
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Kunnan, Antony John – Language Testing, 2010
This paper presents the author's response to Xiaoming Xi's article titled "How do we go about investigating test fairness?" In this response, the author focuses on test fairness and Toulmin's model of argument structure, Xi's proposal, and the challenges the proposal brings. Xi proposes an approach to investigating test fairness to guide…
Descriptors: Persuasive Discourse, Inferences, Test Bias, Models
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Goldstein, Harvey – Cambridge Journal of Education, 2008
The paper reflects on the use by the UK central government of statistical evidence in educational policy matters. Particular attention is given to school league tables. The paper is generally critical of government attitudes, but suggests that progress towards rational decision-making does occur. (Contains 5 notes.)
Descriptors: Educational Policy, Government School Relationship, Decision Making, Policy Analysis
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Tessmer, Martin; And Others – Educational Technology, Research and Development, 1990
Discusses concept learning research and theory, and examines the relationship with models of instructional design. Topics discussed include how concepts are learned; how concepts are measured; instructional design for concept learning; inferences; teaching with analogies; use of learning strategies; and new strategies for classification…
Descriptors: Classification, Concept Formation, Concept Teaching, Inferences