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Modern Language Journal
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
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Measuring Syntactic Complexity in L2 Writing Using Fine‐Grained Clausal and Phrasal Indices

Authors: KYLE, KRISTOPHER; Crossley, Scott Andrew;

Measuring Syntactic Complexity in L2 Writing Using Fine‐Grained Clausal and Phrasal Indices

Abstract

AbstractSyntactic complexity is an important measure of second language (L2) writing proficiency (Larsen–Freeman, 1978; Lu, 2011). Large‐grained indices such as the mean length of T‐unit (MLTU) have been used with the most consistency in L2 writing studies (Ortega, 2003). Recently, indices such as MLTU have been criticized, both for the difficulty in interpretation (e.g., Norris & Ortega, 2009) and for a potentially misplaced focus on clausal subordination (e.g., Biber, Gray, & Poonpon, 2011). In this article, we attempt to address both of these criticisms by using traditional indices of syntactic complexity (e.g., MLTU), fine‐grained indices of clausal complexity, and fine‐grained indices of phrasal complexity to predict holistic scores of writing quality. In 4 studies, we used indices of each index type to predict holistic writing quality scores in independent essays on the Test of English as a Foreign Language (TOEFL). We then used all index types in a combined analysis to predict a holistic writing score. The results indicated that fine‐grained indices of phrasal complexity were better predictors of writing quality than either traditional or fine‐grained clausal indices, though a single fine‐grained index of clausal complexity contributed to the combined model. These results provide some support for Biber et al.’s (2011) claims regarding complexity and academic L2 writing proficiency.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
319
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