Classification as diagnostic reasoning

Bob Rehder, ShinWoo Kim

Research output: Contribution to journalArticle

Abstract

An ongoing goal in the field of categorization has been to determine how objects' features provide evidence of membership in one category versus another. Well-known findings include that feature diagnosticity is a function of how often the feature appears in category members versus nonmembers, their perceptual salience, how features are used in support of inferences, and how observable features are related to other observable features. We tested how diagnosticity is affected by causal relations between observable and unobserved features. Consistent with our view of classification as diagnostic reasoning, we found that observable features are more diagnostic to the extent that they are caused by underlying features that define category membership, because the presence of the latter can be (causally) inferred from the former. Implications of these results for current views of conceptual structure and models of categorization are discussed.

Original languageEnglish (US)
Pages (from-to)715-729
Number of pages15
JournalMemory & Cognition
Volume37
Issue number6
DOIs
StatePublished - 2009

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Diagnostics
Causal Relation
Perceptual Salience
Conceptual Structure
Inference
Conceptual Model

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Neuropsychology and Physiological Psychology

Cite this

Classification as diagnostic reasoning. / Rehder, Bob; Kim, ShinWoo.

In: Memory & Cognition, Vol. 37, No. 6, 2009, p. 715-729.

Research output: Contribution to journalArticle

Rehder, Bob ; Kim, ShinWoo. / Classification as diagnostic reasoning. In: Memory & Cognition. 2009 ; Vol. 37, No. 6. pp. 715-729.
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