2020
DOI: 10.1111/lang.12428
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Methodological Synthesis of Cluster Analysis in Second Language Research

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 practice… Show more

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Cited by 44 publications
(24 citation statements)
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“…Second, we performed a cluster analysis to better understand the roles of the component items and sociodemographic variables in teachers' coping with emergency transition to remote teaching (Kaufman & Rousseeuw, 2005). Instead of identifying categories on the basis of prior, often arbitrary classifications, cluster analysis allows determining categories in a dataset based on actual observed cases (Crowther et al, 2021). Detection of subgroups of educators distinguishable by their patterns of engagement and coping with the transition to the novel situation was performed first by agglomerative hierarchical clustering (HCA) with Ward's linkage in order to identify the optimal number of subgroups, followed by a k-means cluster analysis on normalized mean values of the relevant constructs.…”
Section: Discussionmentioning
confidence: 99%
“…Second, we performed a cluster analysis to better understand the roles of the component items and sociodemographic variables in teachers' coping with emergency transition to remote teaching (Kaufman & Rousseeuw, 2005). Instead of identifying categories on the basis of prior, often arbitrary classifications, cluster analysis allows determining categories in a dataset based on actual observed cases (Crowther et al, 2021). Detection of subgroups of educators distinguishable by their patterns of engagement and coping with the transition to the novel situation was performed first by agglomerative hierarchical clustering (HCA) with Ward's linkage in order to identify the optimal number of subgroups, followed by a k-means cluster analysis on normalized mean values of the relevant constructs.…”
Section: Discussionmentioning
confidence: 99%
“…Frontiers in Psychology 04 frontiersin.org (Crowther et al, 2021). This technique can identify a number of groups that are different from each other in terms of whether those within a group have similar target characteristics.…”
Section: Establishing Cutoff Points and The Latent Rank Modelmentioning
confidence: 99%
“…Converting a continuous variable into categorical groups can inform us if different groups show different L2 reading anxiety symptoms. Such classifications could determine teaching approaches appropriate for particular groups in a classroom (e.g., Ganschow and Sparks, 1991 , 2001 ; Oxford and Ehrman, 1992 ; Swanson, 2017 ; Finch and French, 2018 ; Crowther et al, 2021 ).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…To analyze these, firstly, all the criteria were given an individual node. Cluster Analysis (CA), an advanced statistical method still uncommon but increasingly used to identify groups or patterns in a dataset and to examine group differences (Crowther et al, 2021), was then used to cluster the nodes by © Emerald Publishing Limited. This AAM is provided for your own personal use only.…”
Section: Main Studymentioning
confidence: 99%