Introduction to the special issue Revisiting aptitude testing for interpreting

IF 1.8 1区 文学 0 LANGUAGE & LINGUISTICS
Xiaoqi Shang, M. Russo, Catherine Chabasse
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引用次数: 0

Abstract

ABSTRACT Aptitude testing plays an important role in interpreter training as it helps to screen prospective trainee interpreters, ensuring the quality of training. However, there has been scant interest in this line of inquiry among interpreting scholars. This special issue focuses on the conceptualisation of aptitude and exploration of the predictive validity of aptitude testing batteries or components for interpreting performance from multiple theoretical perspectives using a wide array of methodologies. Firstly, Han’s meta-analysis provides a comprehensive methodological overview of the current research on predictive validity of aptitude testing for interpreting. Next, Hlavac’s survey-based study focuses on the conceptualisation of interpreting aptitude by incorporating multi-stakeholder views. The ensuing three empirical studies by Liu and Zhang, Shang and Xie and Lu and Liu have explored the predictive validity of the tests that were replicated, currently used and self-designed respectively. The last three studies, by Su, Xu, and Song and Li, adopt an aptitude-treatment paradigm to explore the different effects of aptitude components, such as learners’ emotions and cognitive fluency, on interpreting performance under different treatment conditions. These eight articles are expected to stir the research community’s interest in aptitude testing for interpreting, a highly relevant yet significantly under-examined area in interpreting studies.
特刊导论:再论口译能力倾向测验
摘要能力倾向测试在口译培训中发挥着重要作用,有助于筛选潜在的口译培训生,确保培训质量。然而,口译学者对这一问题的研究兴趣甚少。本期特刊着重于天资的概念化和探索天资测试电池或组件的预测有效性,以使用广泛的方法从多个理论角度解释表现。首先,韩的荟萃分析对口译能力倾向测试预测效度的研究现状进行了全面的方法论概述。接下来,Hlavac的基于调查的研究通过结合多方利益相关者的观点来关注口译能力的概念化。Liu and Zhang、Shang and Xie、Lu and Liu的三个实证研究分别探讨了被复制、当前使用和自行设计的测试的预测效度。Su、Xu、Song和Li的最后三项研究采用了能力倾向-处理范式,探讨了不同处理条件下学习者情绪和认知流畅性等能力倾向成分对口译表现的不同影响。这八篇文章预计将激起研究界对口译能力倾向测试的兴趣,这是口译研究中一个高度相关但显著不足的领域。
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来源期刊
CiteScore
2.90
自引率
13.30%
发文量
19
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