Mixed‐Effects Modeling with a Multinomial Dependent Variable

IF 3.5 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Language Learning Pub Date : 2024-08-26 DOI:10.1111/lang.12667
Aarnes Gudmestad, Thomas A. Metzger
{"title":"Mixed‐Effects Modeling with a Multinomial Dependent Variable","authors":"Aarnes Gudmestad, Thomas A. Metzger","doi":"10.1111/lang.12667","DOIUrl":null,"url":null,"abstract":"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 procedures for multinomial logistic regression with fixed and random effects, and we discuss the interpretation of the model and its advantages and limitations.","PeriodicalId":51371,"journal":{"name":"Language Learning","volume":"53 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Language Learning","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1111/lang.12667","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

Abstract

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 procedures for multinomial logistic regression with fixed and random effects, and we discuss the interpretation of the model and its advantages and limitations.
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
多变量混合效应模型
在这篇方法展示文章中,我们将用一个多因变量来说明混合效应模型,以此来解释语言的复杂性。我们对第二语言西班牙语的未来时间参照数据进行了建模,该数据由一个名义因变量组成,该因变量有三个水平,对 73 名参与者进行了测量。我们提供了具有固定效应和随机效应的多项式逻辑回归的分步程序,并讨论了模型的解释及其优势和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Language Learning
Language Learning Multiple-
CiteScore
9.10
自引率
15.90%
发文量
65
期刊介绍: Language Learning is a scientific journal dedicated to the understanding of language learning broadly defined. It publishes research articles that systematically apply methods of inquiry from disciplines including psychology, linguistics, cognitive science, educational inquiry, neuroscience, ethnography, sociolinguistics, sociology, and anthropology. It is concerned with fundamental theoretical issues in language learning such as child, second, and foreign language acquisition, language education, bilingualism, literacy, language representation in mind and brain, culture, cognition, pragmatics, and intergroup relations. A subscription includes one or two annual supplements, alternating among a volume from the Language Learning Cognitive Neuroscience Series, the Currents in Language Learning Series or the Language Learning Special Issue Series.
期刊最新文献
What Proactive Language Learning Theory Is and Is Not: A Response to Atkinson's Commentary Diving Deep Into the Relationship Between Speech Fluency and Second Language Proficiency: A Meta‐Analysis Incidental Nonspeech Auditory Learning Scaffolds Phonetic, Category, and Word Learning in a Foreign Language Classroom Meaning‐Inferencing Versus Meaning‐Given Procedures: The Case of Idioms Dialect‐Specific Modes Influence Second Language Production: Evidence From Bidialectal Shanghai–Mandarin Chinese Learners of English Within the Second Language Linguistic Perception Model
×
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