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What target language use characterizes high-performing L2 learners in a migration context?
Stockholm University, Faculty of Humanities, Department of Romance Studies and Classics.ORCID iD: 0000-0002-2459-5593
Stockholm University, Faculty of Humanities, Department of Romance Studies and Classics.ORCID iD: 0000-0002-3623-8956
Stockholm University, Faculty of Social Sciences, Department of Psychology, Perception and psychophysics.
Stockholm University, Faculty of Social Sciences, Department of Education.ORCID iD: 0000-0003-3845-5468
2025 (English)In: International Journal of Bilingualism, ISSN 1367-0069, E-ISSN 1756-6878Article in journal (Refereed) Epub ahead of print
Abstract [en]

Aims and Objectives/Purpose/Research Questions:Previous studies have investigated if quantity of target language (TL) use predicts second language (L2) learning. The aim of this study is to understand what kind of TL use promotes host language proficiency among adults in the context of migration, operationalized as productive collocation knowledge.

Design/Methodology/Approach:The study takes a cross-sectional quantitative approach to explore what clusters of TL activities predict language proficiency among 63 first language (L1) French L2 Swedish long-term residents in Sweden.Data and Analysis:Data were collected within a larger project. Productive collocation knowledge was assessed by a collocation test and participants’ TL use through the Language Engagement Questionnaire. We conducted a factor analysis to identify patterns of TL use. We then used structural equation modeling to investigate the relationship between TL use and productive collocation knowledge.

Findings/Conclusions:Two factors emerged from the factor analysis: “Everyday Interactive Target Language Use” and “Non-interactive Target Language Use.” Only the former was related to productive collocation knowledge as evidenced by the structural equation modeling. “Everyday Interactive Target Language Use” included using the TL at the workplace, in conversations and service encounters, through text messages and emails, participating in online social network platforms, and browsing the internet.

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2025.
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URN: urn:nbn:se:su:diva-237160DOI: 10.1177/13670069241298768ISI: 001363151900001Scopus ID: 2-s2.0-85210564556OAI: oai:DiVA.org:su-237160DiVA, id: diva2:1921031
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Swedish Research Council, 2017-01196Available from: 2024-12-13 Created: 2024-12-13 Last updated: 2025-06-17

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Arvidsson, KlaraForsberg Lundell, FannyZakrzewska, MartaJemstedt, Andreas

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