Latent structure in measures of associative, semantic, and thematic knowledge View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-06

AUTHORS

William S. Maki, Erin Buchanan

ABSTRACT

There has been much debate about the relation between knowledge for meaning (semantic memory) and knowledge for words in context (associative memory). Many measures of that knowledge exist, but do they all measure the same thing? In this study, scaling, clustering, and factor-analytic techniques were used to reveal the structure underlying 13 variables. Semantic similarity determined from lexicographic measures is shown to be separable from the associative strength determined from word association norms, and these semantic and associative measures are in turn separable from abstract representations derived from computational analyses of large bodies of text. The three-factor structure is at odds with traditional views of word knowledge. The expression of long-term knowledge about words and the concepts they represent may be better viewed in terms of associative, semantic, and thematic information. More... »

PAGES

598-603

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.3758/pbr.15.3.598

DOI

http://dx.doi.org/10.3758/pbr.15.3.598

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026710001

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18567261


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