研究課題/領域番号 |
20K00898
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研究種目 |
基盤研究(C)
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配分区分 | 基金 |
応募区分 | 一般 |
審査区分 |
小区分02100:外国語教育関連
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研究機関 | 東京理科大学 |
研究代表者 |
スチュワート ジェフリー 東京理科大学, 教養教育研究院神楽坂キャンパス教養部, 准教授 (40536306)
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研究分担者 |
Mclean Stuart 桃山学院大学, 経営学部, 准教授 (10624794)
ステクル ティモシー 新潟県立大学, 国際地域学部, 教授 (40601711)
Brown Dale 金沢大学, 外国語教育系, 准教授 (50781168)
ベネット フィリップ 新潟県立大学, 国際地域学部, 准教授 (70601714)
バティ アーロン 慶應義塾大学, 看護医療学部(藤沢), 教授 (80406686)
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研究期間 (年度) |
2020-04-01 – 2025-03-31
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研究課題ステータス |
交付 (2023年度)
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配分額 *注記 |
4,030千円 (直接経費: 3,100千円、間接経費: 930千円)
2022年度: 2,080千円 (直接経費: 1,600千円、間接経費: 480千円)
2021年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
2020年度: 520千円 (直接経費: 400千円、間接経費: 120千円)
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キーワード | vocabulary acquisition / derivations / Vocabulary / Derivations / Affixes / vocabulary / vocabulary testing / applied lingustics / morphology / affixes / word families / Vocabulary acquisition / Language testing |
研究開始時の研究の概要 |
Frequency-based wordlists for L2 vocabulary instruction are typically based on “headwords” in lieu of separate entries for inflections and derivations of these words. This project will test how far usage-based metrics of affix difficulty predict the difficulty of derivations for Japanese learners of English. The project will involve the creation of an explanatory Multi-faceted Rasch model of the likelihood a learner will know a derivational form given (a) their total vocabulary mastery, (b) the difficulty of the headword and (c) the difficulty of the affix(es) in the derivation.
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研究実績の概要 |
Data collection has progressed since the last report. To date we have collected data from 429 students, including 120 who have taken the entire test of 1300 words. The remaining students have taken smaller sections of the test, which has added 24-80 additional responses per test item. Over the first semester of 2024 approximately 40 more students will complete the entire test. Data collection will close in July 2024, at which point we will begin marking the test data and preparing it for analysis.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The extensions we have been granted have allowed us to collect a sufficient amount of data, and we will still have time left over to complete the analysis and begin writing up the results for submission to a journal.
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今後の研究の推進方策 |
Over the summer of 2024, two human raters will score the data in order to ensure inter-rater reliability. Over the fall we will conduct an analysis of the data using the Rasch Measurement program FACETS. Once this is completed and we have answered our initial research question and written up the results, we may conduct additional analyses using a generalized linear model and adding additional variables to analysis, such as measures of lexical diversity for each derivation analyzed.
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