Evidence map›Paper›PMID 41673344›Full record

ArticleBehavior research methods2026

Distinguishing abstraction from abstractness: Specificity norms for 8,500 English words.

Emiko J Muraki, Penny M Pexman

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Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Emiko J MurakiDepartment of Psychology, University of Calgary, Calgary, Canada.ORCID http://orcid.org/0000-0001-9534-6538
Penny M PexmanDepartment of Psychology, Western University, London, Canada. ppexman@uwo.ca.ORCID http://orcid.org/0000-0001-7130-0973

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2024-03906
6 · The paper itself

Abstract

Psycholinguistic norms quantify dimensions of word form, use, and/or meaning and are important for studies involving word stimuli. Among the most commonly used norms are those for concreteness, quantifying the degree to which a word's referent can be understood through the senses. The dimension of concreteness has been found to be related to performance in language processing and memory tasks, yet recent research suggests that (1) ratings of concreteness may be conflated with how specific a word's meaning is, and (2) concreteness and specificity may have opposite effects on lexical-semantic processing. In the present study, we collected specificity scores for a large sample of English words, assessed their reliability and validity, and tested their relationships to lexical processing and memory accuracy. We found that specificity and concreteness are indeed correlated and have different behavioural effects. This large dataset of specificity scores will be an important resource for future lexical-semantic studies.

Indexed as

LanguagePsycholinguisticsSemanticsFemaleHumansMaleMemoryReproducibility of ResultsVocabularyConcretenessLexical semanticsSpecificity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.