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SPAML: Semantic Priming Across Many Languages
Preprint   Open access

SPAML: Semantic Priming Across Many Languages

Erin M Buchanan, Kelly M Cuccolo, Nicholas Coles, Tom Heyman, Aishwarya Iyer, Neil Lewis Jr, Kim Peters, Niels van Berkel, Anna E van't Veer, Jack E Taylor, …
OSF Preprints, Vol.7 December 2021
Centre for Open Science
2021
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SPAML Semantic Priming Across Many Languages469.95 kBDownloadView
Preprint Version Open Access CC BY V4.0
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https://github.com/SemanticPriming/SPAMLView
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Abstract

priming psycholinguistics psychological science accelerator semantic words social and behavioural sciences psychology cognitive psychology
Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide evidence of cognitive underpinnings of the structure and organization of semantic representation in both healthy and clinical populations. In this registered report, we propose to create a large database of semantic priming values, alleviating the sample size and limited language issues with previous studies in this area. Consequently, this database will include semantic priming data across multiple languages using an adaptive sampling procedure. This study will test the size of semantic priming effect and its variability across languages. Results will support semantic priming when reduced response latencies are found for related word-pair conditions in comparison to unrelated word-pair conditions. Differences in semantic priming across languages will be supported when priming effect confidence intervals do not overlap.

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