{"title":"Diving Deep Into the Relationship Between Speech Fluency and Second Language Proficiency: A Meta‐Analysis","authors":"Xun Yan, Yuyun Lei, Yulin Pan","doi":"10.1111/lang.12701","DOIUrl":null,"url":null,"abstract":"Abundant research has indicated fluency features as meaningful predictors of second language proficiency. However, the extent to which different fluency dimensions and features can predict proficiency remains underexplored. This meta‐analysis employed a multilevel modeling approach to synthesize fluency–proficiency relationships from 71 empirical studies from 1959–2023. Additionally, we examined several moderator variables, including task type, learning context, age, and proficiency measure. The correlations found were strongly positive for <jats:italic>speed</jats:italic> (<jats:italic>r</jats:italic> = .55), moderately positive for <jats:italic>productivity</jats:italic> (<jats:italic>r</jats:italic> = .38), moderately negative for <jats:italic>breakdown</jats:italic> (<jats:italic>r</jats:italic> = −.33), and weakly negative for <jats:italic>repair</jats:italic> (<jats:italic>r</jats:italic> = −.11). Moderator analyses revealed that task, learning context, and proficiency measure influence fluency–proficiency relationships in the repair, productivity, and speed dimensions, respectively. Post hoc analyses also suggested that the operationalization of breakdown features might make a difference in fluency–proficiency relationships. This study has both theoretical and methodological implications for second language fluency research.","PeriodicalId":51371,"journal":{"name":"Language Learning","volume":"42 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-01-13","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.12701","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
Abundant research has indicated fluency features as meaningful predictors of second language proficiency. However, the extent to which different fluency dimensions and features can predict proficiency remains underexplored. This meta‐analysis employed a multilevel modeling approach to synthesize fluency–proficiency relationships from 71 empirical studies from 1959–2023. Additionally, we examined several moderator variables, including task type, learning context, age, and proficiency measure. The correlations found were strongly positive for speed (r = .55), moderately positive for productivity (r = .38), moderately negative for breakdown (r = −.33), and weakly negative for repair (r = −.11). Moderator analyses revealed that task, learning context, and proficiency measure influence fluency–proficiency relationships in the repair, productivity, and speed dimensions, respectively. Post hoc analyses also suggested that the operationalization of breakdown features might make a difference in fluency–proficiency relationships. This study has both theoretical and methodological implications for second language fluency research.
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.