Methodological Synthesis of Cluster Analysis in Second Language Research. Issue 1 (14th August 2020)

• Record Type: Journal Article
• Authors: Crowther, Dustin; Kim, Susie; Lee, Jongbong; Lim, Jungmin; Loewen, Shawn
• Is Part Of: Language learning. Volume 71:Issue 1(2021)
• Page Start: 99
• Page End: 130
• Publication Date: 2020-08-14
• Subjects: cluster analysis -- hierarchical cluster analysis -- K‐means cluster analysis -- methodology -- second language research; Language and languages -- Periodicals; Language and languages -- Study and teaching -- Periodicals; Linguistics; 407
• DOI: 10.1111/lang.12428
• Languages: English
• ISSNs: 0023-8333

Abstract

Abstract: We present a review of second language researchers' use of cluster analysis, an advanced statistical method still uncommon but increasingly used to identify groups or patterns in a dataset and to examine group differences. After describing key methodological considerations in conducting cluster analysis, we present a methodological synthesis of 65 studies published between 1989 and 2018 that employed cluster analysis. We specifically review the use of cluster analysis for themes of usage and reporting practices. Our findings indicate that hierarchical cluster analysis and K‐means cluster analysis were the most commonly used cluster methods, but the widespread use of these two methods tended not to be accompanied by sound reporting practices, particularly when justifying cluster solutions. In our analysis, we highlight concerns related to reporting and evaluation. For future use and to inform methodological practices in second language research, we briefly report on a sample study of cluster analysis that uses open data. Abstract :