ArticleBehavior research methods2023
SCOPE: The South Carolina psycholinguistic metabase.
Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed.
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- Incipient Constituents: Phonesthemes Facilitate Word Processing in English.Open mind : discoveries in cognitive science · 2026Article
- Contextual assembly of lexical functions in large language models.Behavior research methods · 2025Article
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- Stylistic language drives perceived moral superiority of LLMs.Scientific reports · 2025Article
- Patient-Provider Communication and Health Disparities: An Experiment Exploring Language Proficiency and Communication Accommodation.Journal of racial and ethnic health disparities · 2025Article
- Psycholinguistic Variables and Spelling Accuracy for People with Logopenic Variant Primary Progressive Aphasia: A Cross-Sectional Study.Aphasiology · 2025Article
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- Vigorous Exercise Enhances Verbal Fluency Performance in Healthy Young Adults.Brain sciences · 2025Article
- Mapping Mental Representations With Free Associations: A Tutorial Using the R Package associatoR.Journal of cognition · 2025Article
- Moving beyond word frequency based on tally counting: AI-generated familiarity estimates of words and phrases are an interesting additional index of language knowledge.Behavior research methods · 2024Article
- Using large language models to estimate features of multi-word expressions: Concreteness, valence, arousal.Behavior research methods · 2024Article
- The Two Word Test as a semantic benchmark for large language models.Scientific reports · 2024Article
- An inclusive multivariate approach to neural localization of language components.Brain structure & function · 2024Article
- Non-arbitrary mappings between size and sound of English words: Form typicality effects during lexical access and memory.Quarterly journal of experimental psychology (2006) · 2024Article
- A psycholinguistic study of intergroup bias and its cultural propagation.Scientific reports · 2024Article
- Novel embeddings improve the prediction of risk perception.EPJ data science · 2024Article
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3 authors.
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Abstract
The number of databases that provide various measurements of lexical properties for psycholinguistic research has increased rapidly in recent years. The proliferation of lexical variables, and the multitude of associated databases, makes the choice, comparison, and standardization of these variables in psycholinguistic research increasingly difficult. Here, we introduce The South Carolina Psycholinguistic Metabase (SCOPE), which is a metabase (or a meta-database) containing an extensive, curated collection of psycholinguistic variable values from major databases. The metabase currently contains 245 lexical variables, organized into seven major categories: General (e.g., frequency), Orthographic (e.g., bigram frequency), Phonological (e.g., phonological uniqueness point), Orth-Phon (e.g., consistency), Semantic (e.g., concreteness), Morphological (e.g., number of morphemes), and Response variables (e.g., lexical decision latency). We hope that SCOPE will become a valuable resource for researchers in psycholinguistics and affiliated disciplines such as cognitive neuroscience of language, computational linguistics, and communication disorders. The availability and ease of use of the metabase with comprehensive set of variables can facilitate the understanding of the unique contribution of each of the variables to word processing, and that of interactions between variables, as well as new insights and development of improved models and theories of word processing. It can also help standardize practice in psycholinguistics. We demonstrate use of the metabase by measuring relationships between variables in multiple ways and testing their individual contribution towards a number of dependent measures, in the most comprehensive analysis of this kind to date. The metabase is freely available at go.sc.edu/scope.
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