ERIC Number: EJ1351807
Record Type: Journal
Publication Date: 2022-Nov
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1525-822X
EISSN: EISSN-1552-3969
Can Recall Data Be Trusted? Evaluating Reliability of Interview Data on Traditional Multilingualism in Highland Daghestan
Daniel, Michael; Koshevoy, Alexey; Schurov, Ilya; Dobrushina, Nina
Field Methods, v34 n4 p288-302 Nov 2022
In 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.
Descriptors: Recall (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
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Russia
Grant or Contract Numbers: N/A