{"title":"英语作为外语学习者议论文写作中的词汇衔接发展:一个潜在类增长模型方法","authors":"Jianhua Zhang , Lawrence Jun Zhang","doi":"10.1016/j.linged.2023.101255","DOIUrl":null,"url":null,"abstract":"<div><p>The current study explored the longitudinal development of lexical cohesion for speakers of English as a foreign language (EFL) at the group level by employing Latent Class Growth Modelling (LCGM). A convenience sample of 276 university students from Southwest China were recruited and invited to write four argumentative essays over four months. Their essays formed a learner corpus, which was utilized to construct unconditional latent class growth models to explore the latent classes of EFL learners' development trajectories of lexical cohesion in their writing. Besides, conditional LCGM including logistic regression analysis was employed to investigate the effect of English proficiency on the classifications. The unconditional models demonstrated that there were different latent classes of development trajectories for local and global cohesion indices, which supports the heterogeneity of their development trajectories. Those models also revealed that two categories were the optimal ones for latent classes of development trajectories for selected local and global lexical cohesion indices. Additionally, logistic regression analyses showed that English proficiency affected latent classes of development trajectories of only one global cohesion index. The implications for EFL/L2 writing instruction and language development research are also discussed.</p></div>","PeriodicalId":47468,"journal":{"name":"Linguistics and Education","volume":"78 ","pages":"Article 101255"},"PeriodicalIF":1.6000,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lexical cohesion development in English as a foreign language learners' argumentative writing: A latent class growth model approach\",\"authors\":\"Jianhua Zhang , Lawrence Jun Zhang\",\"doi\":\"10.1016/j.linged.2023.101255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The current study explored the longitudinal development of lexical cohesion for speakers of English as a foreign language (EFL) at the group level by employing Latent Class Growth Modelling (LCGM). A convenience sample of 276 university students from Southwest China were recruited and invited to write four argumentative essays over four months. Their essays formed a learner corpus, which was utilized to construct unconditional latent class growth models to explore the latent classes of EFL learners' development trajectories of lexical cohesion in their writing. Besides, conditional LCGM including logistic regression analysis was employed to investigate the effect of English proficiency on the classifications. The unconditional models demonstrated that there were different latent classes of development trajectories for local and global cohesion indices, which supports the heterogeneity of their development trajectories. Those models also revealed that two categories were the optimal ones for latent classes of development trajectories for selected local and global lexical cohesion indices. Additionally, logistic regression analyses showed that English proficiency affected latent classes of development trajectories of only one global cohesion index. The implications for EFL/L2 writing instruction and language development research are also discussed.</p></div>\",\"PeriodicalId\":47468,\"journal\":{\"name\":\"Linguistics and Education\",\"volume\":\"78 \",\"pages\":\"Article 101255\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Linguistics and Education\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0898589823001146\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Linguistics and Education","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0898589823001146","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
摘要
本研究采用潜在类增长模型(Latent Class Growth modeling, LCGM),在群体水平上探讨了英语作为外语的使用者词汇衔接的纵向发展。从中国西南地区招募了276名大学生作为方便样本,并邀请他们在四个月内写四篇议论文。他们的文章构成了学习者语料库,并利用这些语料库构建无条件潜类增长模型,探索英语学习者写作中词汇衔接发展轨迹的潜类。此外,采用包含逻辑回归分析的条件LCGM来探讨英语水平对分类的影响。无条件模型表明,区域和全球凝聚力指数存在不同的潜在发展轨迹,这支持了其发展轨迹的异质性。这些模型还表明,对于所选的局部和全局词汇衔接指数,两个类别是发展轨迹的潜在类别的最佳类别。此外,逻辑回归分析显示,英语熟练程度仅影响一个全球凝聚力指数的潜在发展轨迹类别。本文还讨论了对EFL/L2写作教学和语言发展研究的启示。
Lexical cohesion development in English as a foreign language learners' argumentative writing: A latent class growth model approach
The current study explored the longitudinal development of lexical cohesion for speakers of English as a foreign language (EFL) at the group level by employing Latent Class Growth Modelling (LCGM). A convenience sample of 276 university students from Southwest China were recruited and invited to write four argumentative essays over four months. Their essays formed a learner corpus, which was utilized to construct unconditional latent class growth models to explore the latent classes of EFL learners' development trajectories of lexical cohesion in their writing. Besides, conditional LCGM including logistic regression analysis was employed to investigate the effect of English proficiency on the classifications. The unconditional models demonstrated that there were different latent classes of development trajectories for local and global cohesion indices, which supports the heterogeneity of their development trajectories. Those models also revealed that two categories were the optimal ones for latent classes of development trajectories for selected local and global lexical cohesion indices. Additionally, logistic regression analyses showed that English proficiency affected latent classes of development trajectories of only one global cohesion index. The implications for EFL/L2 writing instruction and language development research are also discussed.
期刊介绍:
Linguistics and Education encourages submissions that apply theory and method from all areas of linguistics to the study of education. Areas of linguistic study include, but are not limited to: text/corpus linguistics, sociolinguistics, functional grammar, discourse analysis, critical discourse analysis, conversational analysis, linguistic anthropology/ethnography, language acquisition, language socialization, narrative studies, gesture/ sign /visual forms of communication, cognitive linguistics, literacy studies, language policy, and language ideology.