A geometric method for indexing stimulus relations in association

Research output: Contribution to journalArticlepeer-review

Abstract

Methods for indexing stimulus relations in association involve measuring the overlap of the response set and naturally lend themselves to a set-theory method. A geometric method using associative frequencies as distance measures might be suited better to associative data. Two geometric measures are advanced, and it is argued that their accuracy for extreme cases exceeds that for measures from a set-theory approach.

Original languageEnglish (US)
Pages (from-to)48-49
Number of pages2
JournalBehavior Research Methods & Instrumentation
Volume2
Issue number2
DOIs
StatePublished - Mar 1970

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Psychology (miscellaneous)
  • Psychology(all)

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