Leveraging social network data to ground multilingual background measures: The case of general and socially based language entropy.

Michelle Y. Yang · Anne L. Beatty‐Martínez · Inbal Itzhak · Jason William Gullifer · Debra A. Titone

5 citations0/0 files storedCanadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale

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Linguistic and Sociocultural Studies Multilingual Education and Policy Categorization, perception, and language

Abstract

= 95). Specifically, we used exploratory factor analysis to characterise the factor structures resulting from questionnaire-based and social network-based Entropy. In addition, we examined the generalisability and stability of the relationship between both entropies across three bilingual groups with different social network compositions: simultaneous, English-dominant, and French-dominant. Our findings indicated that both questionnaire-based and social network-based entropies loaded onto the same factors and that the relationship between them was not affected by group differences in social network composition or by context. This suggests that questionnaire-based Language Entropy aligns well with social network-based Entropy and that this relationship is stable across different sociolinguistic realities, validating Language Entropy as a useful tool for quantifying language diversity. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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