Have a personal or library account? Click to login
Using Psychometric Network Analysis to Examine the Components of Spoken Word Recognition Cover

Using Psychometric Network Analysis to Examine the Components of Spoken Word Recognition

Open Access
|Jan 2024

Abstract

Using language requires access to domain-specific linguistic representations, but also draws on domain-general cognitive skills. A key issue in current psycholinguistics is to situate linguistic processing in the network of human cognitive abilities. Here, we focused on spoken word recognition and used an individual differences approach to examine the links of scores in word recognition tasks with scores on tasks capturing effects of linguistic experience, general processing speed, working memory, and non-verbal reasoning. 281 young native speakers of Dutch completed an extensive test battery assessing these cognitive skills. We used psychometric network analysis to map out the direct links between the scores, that is, the unique variance between pairs of scores, controlling for variance shared with the other scores. The analysis revealed direct links between word recognition skills and processing speed. We discuss the implications of these results and the potential of psychometric network analysis for studying language processing and its embedding in the broader cognitive system.

DOI: https://doi.org/10.5334/joc.340 | Journal eISSN: 2514-4820
Language: English
Submitted on: May 2, 2023
|
Accepted on: Dec 15, 2023
|
Published on: Jan 10, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Florian Hintz, James M. McQueen, Antje S. Meyer, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.