哪种类型的词汇知识能更好地与阅读-理解、意义-认知或意义-回忆相关联？

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

ACS Applied Electronic Materials Pub Date : 2024-04-22 DOI:10.1177/00336882241246619

Chihiro Komiya, Stuart Mclean

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引用次数: 0

摘要

本研究调查了在课堂评估环境中两种类型的词汇测试与第二语言阅读理解（RC）之间的关系。一组 40 名学习者完成了最新词汇水平测试（UVLT）的书面-接受-意义-回忆测量和书面-接受-意义-认知 UVLT。我们对这两项测试的分数与国际交流英语测试阅读分数之间的关系进行了相关分析。结果表明，意义回忆与 RC 之间的关系（r =0 .85，p <0 .001）高于意义认知与 RC 之间的关系（r =0 .78，p <0 .001），且差异显著（Steiger's z = 3.06，p =0 .002）。这表明，意义识记知识能更好地预测 RC。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Which Type of Vocabulary-Knowledge Better Correlates with Reading-Comprehension, Meaning-Recognition or Meaning-Recall?

This study investigated the relationships between two types of vocabulary tests and second language reading-comprehension (RC) in a classroom assessment setting. A group of 40 learners completed a written-receptive meaning-recall measure of the Updated Vocabulary Levels Test (UVLT) and the written-receptive meaning-recognition UVLT. Correlation analysis was conducted to examine the relationships between scores from the two tests and The TEST of English for International Communication Reading scores. The results showed that the relationship between the meaning-recall and RC ( r =0 .85, p <0 .001) was higher than between the meaning-recognition and RC ( r =0 .78, p <0 .001) with a significant difference (Steiger's z = 3.06, p =0 .002). This suggests that meaning-recall knowledge is a better predictor of RC.

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来源期刊

ACS Applied Electronic Materials Multiple-

CiteScore

7.20

自引率

4.30%

发文量

567

期刊介绍： ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/Abstracted： Web of Science SCIE Scopus CAS INSPEC Portico