2009 Fiscal Year Final Research Report
Development of a Vocabulary Test Battery Estimating English Skills and Proficiency : Integrating Vocabulary Size, Organization, and Access Speed
| Project/Area Number |
19320084
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Foreign language education
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| Research Institution | Reitaku University |
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Principal Investigator |
MOCHIZUKI Masamichi Reitaku University, 外国語学部, 教授 (90245275)
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| Co-Investigator(Kenkyū-buntansha) |
UEMURA Toshihiko 長崎県立大学, 国際情報学部, 教授 (50176640)
AIZAWA Kazumi 東京電機大学, 工学部, 教授 (00222448)
SUGIMORI Naoki 立命館大学, 情報理工学部, 教授 (40216338)
ISHIKAWA Shin'ichiro 神戸大学, 国際コミュニケーションセンター, 准教授 (90320994)
ISO Tatsuo 麗澤大学, 外国語学部, 准教授 (40438916)
KOIZUMI Rie 常磐大学, 国際学部, 講師 (70433571)
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| Research Collaborator |
SHIMIZU Shin'ichi 安城学園, 教諭
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| Project Period (FY) |
2007 – 2009
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| Keywords | 英語語彙知識 / 語彙サイズ / 語彙構成 / 語彙知識の深さ / 単語認知速度 / 言語習熟度 / テスト開発 |
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| Research Abstract |
This research investigated the relationship between vocabulary knowledge measured in three dimensions, size, organization, and recognition speed, and general language proficiency. To measure vocabulary size, J8VST was used, which sampled words from the most frequently used 5,000 words in the JACET 8000 Word List and challenged test-takers to choose the English word among four choices that represents a Japanese word stimulus. To measure vocabulary organization, LOT was used, which challenged test-takers to choose two words among three that form the strongest connection of three possible combinations of the three words. To measure recognition speed, LEXATT was employed. In Part 1 of LEXATT test-takers find a common word hidden in a string of letters and the reaction time is measured. In Part 2 of LEXATT, test-takers try to recognize a word as quickly as possible and choose the meaning of the recognized word. The participants of the study took all three vocabulary test and the TOEIC test
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and the relation among the test results was sought. The regression analysis found that a TOEIC score can be predicted by the scores of the three vocabulary tests but the confidence interval is too large to trust estimated scores. The Structural Equation Modelling analysis adopted a model that best explains TOEIC scores. The model does not include LOT scores because the reliability of the test was very low, .31. The model found a moderate correlation between size and access speed scores, which means that learners with a large vocabulary size have faster access speed. However, access speed did not have any relation with TOEIC reading or listening scores. It was found that only vocabulary size was responsible for TOEIC scores. This may be due to the validity and reliability of the lexical organization test and the lexical access test. Further studies should aim at improving the validity and reliability of these tests. The three tests developed can be accessed at: http://mochvocab.sakura.ne.jp/. Less
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Research Products
(13 results)
