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Aarnes Gudmestad; Thomas A. Metzger – Language Learning, 2025
In this Methods Showcase Article, we illustrate mixed-effects modeling with a multinomial dependent variable as a means of explaining complexities in language. We model data on future-time reference in second language Spanish, which consists of a nominal dependent variable that has three levels, measured over 73 participants. We offer step-by-step…
Descriptors: Second Language Learning, Spanish, Applied Linguistics, Predictor Variables
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Panos Athanasopoulos; Rui Su – Language Learning, 2024
The temporal focus hypothesis (TFH) entails that individuals who value the past tend to conceptualize it in front, whereas individuals who value the future tend to map the future in front instead (de la Fuente et al., 2014). This varies as a function of culture, individual differences, and context. Here, we extend this line of inquiry by testing a…
Descriptors: Time, COVID-19, Pandemics, Individual Differences
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Hannah Sawyer; Colin Bannard; Julian Pine – Language Learning, 2024
Verb-marking errors such as "she play football" and "daddy singing" are a hallmark feature of English-speaking children's speech. We investigated the proposal that these errors are input-driven errors of commission arising from the high relative frequency of subject + unmarked verb sequences in well-formed child-directed…
Descriptors: Error Patterns, Verbs, Predictor Variables, Incidence
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Cathy Hauspie; Stijn Schelfhout; Nicolas Dirix; Lot Fonteyne; Mark Janse; Arnaud Szmalec; Alexandra Vereeck; Wouter Duyck – Language Learning, 2024
Studying Latin in secondary education is still widespread in Europe and believed to result in cognitive benefits, even beyond the linguistic domain. In this study we explored the relation between such study and later academic achievement in higher education (N = 1,898). First, we demonstrated that Latin students exhibit increased levels of study…
Descriptors: Latin, Second Language Learning, Secondary Education, Higher Education
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Caroline F. Rowland; Amy Bidgood; Gary Jones; Andrew Jessop; Paula Stinson; Julian M. Pine; Samantha Durrant; Michelle S. Peter – Language Learning, 2025
A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…
Descriptors: Vocabulary Development, Comparative Analysis, Computational Linguistics, Language Skills