A maximum likelihood, nonmetric multidimensional scaling procedure for word sequences obtained in free-recall experiments

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Abstract

A maximum likelihood nonmetric multidimensional scaling procedure is developed for word sequences obtained in free-recall experiments in order to spatialy represent the structure of semantic memory. A Monte Carlo simulation showed that this procedure can reproduce given configulations, and a tentative application to empirical data (free-recall data of historical personages by the author as the subject) gave promising results. The procedure has two aspects: mathematical modeling of free-recall and the application of the constant utility model (Luce & Suppes, 1965) to multidimensional scaling. Relations to other maximum likelihood MDS’s and the SAM model for memory retrieval (Raaijmakers & Shiffrin, 1981) are discussed.

Original languageEnglish
Pages (from-to)53-63
Number of pages11
JournalJapanese Psychological Research
Volume28
Issue number2
DOIs
Publication statusPublished - 1986

Keywords

  • choice axiom
  • free-recall
  • maximum likelihood
  • multidimensional scaling
  • semantic memory
  • spatial representation

ASJC Scopus subject areas

  • Psychology(all)

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