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What Do Artificial Orthography Learning Tasks Actually Measure? Correlations Within and Across Tasks

Artificial Orthography Learning (AOL) may act as a possible candidate to model the learning of print-to-speech correspondences. In order to serve as an adequate task, however, we need to establish whether AOL can be reliably measured. In the current study, we report the correlations between the lear...

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Detalles Bibliográficos
Autores principales: Schmalz, Xenia, Schulte-Körne, Gerd, de Simone, Elisabetta, Moll, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805385/
https://www.ncbi.nlm.nih.gov/pubmed/33511326
http://dx.doi.org/10.5334/joc.144
Descripción
Sumario:Artificial Orthography Learning (AOL) may act as a possible candidate to model the learning of print-to-speech correspondences. In order to serve as an adequate task, however, we need to establish whether AOL can be reliably measured. In the current study, we report the correlations between the learning of two different artificial orthographies by the same 55 participants. We also explore the correlation between AOL skill and other participant-level variables, namely Paired Associate Learning (PAL) performance, word and nonword reading ability, and age. We find high correlations between learning of two different artificial orthographies. Correlations with reading fluency and PAL are low. These results leave questions about the link between reading acquisition and AOL. At the same time, they show that AOL ability can be reliably measured and justify its use for future studies.