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Related Experiment Video

Updated: May 14, 2026

A Semantic Priming Event-related Potential (ERP) Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

A Semantic Priming Event-related Potential (ERP) Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

Published on: April 12, 2018

The semantic priming project.

Keith A Hutchison¹, David A Balota, James H Neely

¹Department of Psychology, Montana State University, Campus Box 173440, Bozeman, MT, 59717-3440, USA, khutch@montana.edu.

Behavior Research Methods

|January 25, 2013

Summary

This study presents the largest behavioral database on semantic priming, offering researchers extensive data for stimulus selection and theory testing in cognitive psychology.

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Area of Science:

Cognitive Psychology
Psycholinguistics
Behavioral Neuroscience

Background:

Semantic priming is a fundamental cognitive phenomenon influencing word recognition.
Existing datasets often lack the scale and comprehensive nature required for robust research.
Large-scale, accessible data are crucial for advancing our understanding of language processing.

Purpose of the Study:

To create and share the largest behavioral database on semantic priming.
To provide researchers with a comprehensive resource for stimulus selection and experimental design.
To facilitate the testing of theories related to word recognition and semantic memory.

Main Methods:

Collected speeded naming and lexical decision data for 1,661 target words from 768 participants across four universities.
Integrated behavioral measures with subject demographics and item characteristics.
Developed a user-friendly, internet-based repository with a search engine for data retrieval.

Main Results:

The Semantic Priming Project database is now publicly available.
The repository allows for targeted retrieval of prime-target pairs based on various linguistic and psychological characteristics.
The dataset enables detailed analysis of priming effects across different conditions.

Conclusions:

This database represents a significant resource for the cognitive science community.
It will aid researchers in selecting stimuli, testing theories, and minimizing confounds in semantic priming studies.
The availability of such a large dataset promotes reproducible research and accelerates discoveries in language processing.