Vol. 56:2 (2021) ► pp.118–145
The effects of linguistic measures in the analysis of L2 Chinese descriptive writing
The current study investigates whether the CAF (complexity, accuracy, and fluency) analysis framework, frequently used in L2 studies of English and other languages, may effectively analyze L2 essays in Chinese, a language typologically different from English. CAF measures were examined for both their discriminative and predictive effects for L2 Chinese writing quality. The results revealed that most of the measures captured linguistic differences between lower-score and higher-score essays. Similar to findings in other L2s, more advanced L2 Chinese learners achieved syntactic complexification increasingly through phrasal features in their essays, in contrast to lower-level learners. The predictive effects of the measures for writing quality differed between lower-score and higher-score essays. T-unit length, a syntactic measure successfully analyzing Indo-European languages, did not serve as an effective predictor for L2 Chinese textual quality. The current study provides implications for both L2 writing research and L2 writing curriculum.
Article outline
- 1.Introduction
- 2.Literature review
- 2.1L2 writing constructs and measures
- 2.2L2 writing performance in CAF measures
- 2.2.1L2 written fluency, accuracy, and lexical complexity
- 2.2.2L2 written syntactic complexity
- 2.2.3Relationships among CAF sub-dimensions
- 2.3Predictive effects of CAF measures for human judgments of L2 writing quality
- 3.The present study
- 3.1Participants and dataset
- 3.2Measures in the current study
- 3.3Analysis
- 4.Results
- 4.1Research question 1: CAF analysis of lower-score and higher-score essays
- 4.2Research question 2: Predictive power of the CAF measures for human ratings of writing quality
- 5.Discussion
- 5.1Lower-score and higher-score writing performance according to CAF measures
- 5.2Predictive effects of the CAF measures for human ratings of writing quality
- 5.3Discrepancy between discriminative indicators and predictors of ratings
- 6.Conclusion
- Note
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References
https://doi.org/10.1075/csl.21012.lia