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
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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