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Autor/inn/enDaniel, Michael; Koshevoy, Alexey; Schurov, Ilya; Dobrushina, Nina
TitelCan Recall Data Be Trusted? Evaluating Reliability of Interview Data on Traditional Multilingualism in Highland Daghestan
QuelleIn: Field Methods, 34 (2022) 4, S.288-302 (15 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1525-822X
DOI10.1177/1525822X221115844
SchlagwörterRecall (Psychology); Multilingualism; Artificial Intelligence; Second Languages; Second Language Learning; Language Proficiency; Foreign Countries; Reliability; Interviews; Russian; History; Family (Sociological Unit); Prediction; Comparative Analysis; Native Language
AbstractIn this article, we address the issue of reliability of quantitative data on multilingualism of the past obtained as recall data. More specifically, we investigate whether the interviewees' assessments of the language repertoires of their late relatives (indirect data) provide results that are quantitatively similar to those obtained from the people of the same age range themselves (direct data). The empirical data we use come from an ongoing field study of traditional multilingualism in Daghestan (Russia). We trained machine learning models to see whether they can detect differences in indirect and direct data. We conclude that our indirect quantitative data on L2 other than Russian are essentially similar to direct data, while there may be a small but systematic underestimation when reporting others' knowledge of Russian. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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