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Beyond the Complexity, Accuracy, and Fluency Framework: A Meaning-Oriented Approach to Cognitive and Affective
Fuqiang Ran1, Jeroen van de Weijer1, Zhiyuan Zheng2
1College of International Studies, Shenzhen University, No. 3688, Nanhai Avenue, Nanshan District, Shenzhen 518060, China.
Cognitive factors like working memory capacity (WMC) and emotional factors like language anxiety influence language production, but mainly through interactions with language proficiency, not as direct main effects.
Area of Science:
- Second Language Acquisition
- Psycholinguistics
- Cognitive Psychology
Background:
- Previous research on language production often uses the Complexity, Accuracy, and Fluency (CAF) framework.
- The CAF framework has underrepresented meaning-oriented outcomes, leading to inconsistent findings.
- Cognitive (WMC) and emotional (language anxiety) predictors have been studied, but their interaction with meaning is less understood.
Purpose of the Study:
- To address limitations in existing language production models by integrating meaning-oriented aspects.
- To introduce and validate the Formal and Functional Evaluation (FFE) model, combining CAF and Communication Content Function (CCF) frameworks.
- To investigate the interactive effects of working memory capacity (WMC), language anxiety, and language proficiency on L3 German production.
Main Methods:
- Developed the Formal and Functional Evaluation (FFE) model by integrating the Communication Content Function (CCF) model into the CAF framework.
- Collected data from L1 Cantonese and L2 English speakers acquiring German as a third language (L3).
- Employed multiple regression analyses to examine main and interaction effects of WMC, language anxiety, and language proficiency on production outcomes.
Main Results:
- Language proficiency significantly impacted most language production outcomes.
- Working memory capacity (WMC) and language anxiety did not show significant main effects on most outcomes.
- A significant interaction effect was found between WMC and language proficiency.
Conclusions:
- Cognitive and affective factors primarily influence language production through interaction effects.
- Language proficiency acts as a moderator in the relationship between cognitive/affective factors and language production.
- The FFE model provides a more comprehensive approach to evaluating language production by incorporating meaning-based measures.
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