Loughborough University
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The impact of phonological processing on number transcoding

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journal contribution
posted on 2024-08-08, 13:33 authored by LT Batista, M Gomides, G Koltermann, Julia BahnmuellerJulia Bahnmueller, Korbinian MoellerKorbinian Moeller, JFD Salles, VG Haase, R Moura, JB Lopes-Silva
Number transcoding describes the ability to make conversions between verbal and digital-Arabic numerical notations and was found to be a significant predictor of later math achievement. Therefore, it is important to better understand predictors of number transcoding performance. In this context, the present study focused on further investigating the predictive power of three phonological processing abilities (i.e., phonological working memory, phonemic awareness, and lexical access) for children's number transcoding performance. In particular, we were interested in potentially selective associations of phonological processing abilities with specific number transcoding error types (i.e., lexical and syntactic errors). In total, 386 3rd and 4th graders aged 7–11 years were assessed. Results demonstrated that above and beyond age, sex, non-verbal reasoning, and visual-spatial working memory overall number transcoding performance were predicted by phonemic awareness and lexical access. Furthermore, selective associations were observed in that lexical errors were predicted by phonemic awareness and lexical access, whereas syntactic errors were predicted by visual-spatial working memory specifically. Taken together, these results corroborate and further specify the contribution of phonological processing abilities for number transcoding by providing evidence for shared cognitive mechanisms for the acquisition of mathematical and language skills.

History

School

  • Science

Department

  • Mathematical Sciences

Published in

Cognitive Development

Volume

66

Publisher

Elsevier

Version

  • AM (Accepted Manuscript)

Rights holder

© Elsevier Inc.

Publisher statement

All Rights Reserved

Acceptance date

2023-02-28

Publication date

2023-03-27

Copyright date

2023

ISSN

0885-2014

eISSN

1879-226X

Language

  • en

Depositor

Dr Julia Bahnmuller. Deposit date: 17 July 2024

Article number

ARTN 101320