召回数据是否可信?达赫斯坦高原传统多语采访数据的可靠性评价

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY Field Methods Pub Date : 2022-10-01 DOI:10.1177/1525822X221115844
Michael Daniel, Alexey Koshevoy, I. Schurov, N. Dobrushina
{"title":"召回数据是否可信?达赫斯坦高原传统多语采访数据的可靠性评价","authors":"Michael Daniel, Alexey Koshevoy, I. Schurov, N. Dobrushina","doi":"10.1177/1525822X221115844","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":48060,"journal":{"name":"Field Methods","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Can Recall Data Be Trusted? Evaluating Reliability of Interview Data on Traditional Multilingualism in Highland Daghestan\",\"authors\":\"Michael Daniel, Alexey Koshevoy, I. Schurov, N. Dobrushina\",\"doi\":\"10.1177/1525822X221115844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":48060,\"journal\":{\"name\":\"Field Methods\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Field Methods\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/1525822X221115844\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Field Methods","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/1525822X221115844","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
引用次数: 1

摘要

在这篇文章中,我们讨论了作为回忆数据获得的过去使用多种语言的定量数据的可靠性问题。更具体地说,我们调查了受访者对其已故亲属语言库的评估(间接数据)是否提供了与同年龄段的人自己获得的结果(直接数据)在数量上相似的结果。我们使用的实证数据来自于正在进行的对达赫斯坦(俄罗斯)传统多语制的实地研究。我们训练了机器学习模型,看看它们是否能够检测间接数据和直接数据的差异。我们得出的结论是,我们关于除俄语以外的第二语言的间接定量数据与直接数据基本相似,而在报告他人对俄语的了解时,可能存在小规模但系统性的低估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Can Recall Data Be Trusted? Evaluating Reliability of Interview Data on Traditional Multilingualism in Highland Daghestan
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Field Methods
Field Methods Multiple-
CiteScore
2.70
自引率
5.90%
发文量
41
期刊介绍: Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
期刊最新文献
ChatGPTest: Opportunities and Cautionary Tales of Utilizing AI for Questionnaire Pretesting What predicts willingness to participate in a follow-up panel study among respondents to a national web/mail survey? Invited Review: Collecting Data through Dyadic Interviews: A Systematic Review Offering Web Response as a Refusal Conversion Technique in a Mixed-mode Survey Network of Categories: A Method to Aggregate Egocentric Network Survey Data into a Whole Network Structure
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1