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

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

Open Access
|Jan 2021

Abstract

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.

DOI: https://doi.org/10.5334/joc.144 | Journal eISSN: 2514-4820
Language: English
Submitted on: Nov 21, 2019
Accepted on: Dec 13, 2020
Published on: Jan 13, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Xenia Schmalz, Gerd Schulte-Körne, Elisabetta de Simone, Kristina Moll, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.