Bilingualism caught in a net. A new approach to understanding the complexity of bilingual experience
110 000 Neurocognition of Language
Psychometrics
4. Education
05 social sciences
Cognitive Psychology
Multilingualism
Linguistics
Social and Behavioral Sciences
Language Development
Young Adult
Cognition
Humans
0501 psychology and cognitive sciences
Psychology, other
Quantitative Methods
10. No inequality
Concepts and Categories
Language
DOI:
10.31234/osf.io/eba3n
Publication Date:
2021-10-13T04:14:00Z
AUTHORS (5)
ABSTRACT
The growing importance of research on bilingualism in psychology and neuroscience motivates the need for a psychometric model that can be used to understand and quantify this phenomenon. This research is the first to meet this need. We re-analyzed two datasets (N = 171 and N = 112) from relatively young adult language-unbalanced bilinguals and asked whether bilingualism is best described by the factor structure or by the network structure. The factor and network models were established on one dataset and then validated on the other dataset in a fully confirmatory manner. The network model provided the best fit to the data. This implies that bilingualism should be conceptualized as an emergent phenomenon arising from direct and idiosyncratic dependencies among the history of language acquisition, diverse language skills, and language-use practices. These dependencies can be reduced to neither a single universal quotient nor to some more general factors. Additional in-depth network analyses showed that the subjective perception of proficiency along with language entropy and language mixing were the most central indices of bilingualism, thus indicating that these measures can be especially sensitive to variation in the overall bilingual experience. Overall, this work highlights the great potential of psychometric network modeling to gain a more accurate description and understanding of complex (psycho)linguistic and cognitive phenomena.
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