Bibliographic Details
| Title: |
Measuring Syntactic Complexity in L2 Writing Using Fine‐Grained Clausal and Phrasal Indices. |
| Authors: |
KYLE, K. R. I. S. T. O. P. H. E. R.1 kkyle@hawaii.edu, CROSSLEY, S. C. O. T. T. A.2 scrossley@gsu.edu |
| Source: |
Modern Language Journal (John Wiley & Sons, Inc.). Jun2018, Vol. 102 Issue 2, p333-349. 17p. 3 Diagrams, 19 Charts. |
| Subject Terms: |
*English as a foreign language, *Writing evaluation, *Test of English as a Foreign Language, Syntax in the English language, Clauses (Grammar), Linguistic complexity |
| Abstract: |
Syntactic 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. [ABSTRACT FROM AUTHOR] |
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| Database: |
Education Research Complete |
