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一般化線形モデル(GLM)によるG-TELPスコアからTOEICスコアの推定モデルの構築:長崎大学学生の2011年から2016年のデータから
http://hdl.handle.net/10069/38508
http://hdl.handle.net/10069/385082861eab7-a8ad-4f9e-9b55-861dc2a7246e
名前 / ファイル | ライセンス | アクション |
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JCLS6_33.pdf (1.2 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2018-08-20 | |||||
タイトル | ||||||
タイトル | 一般化線形モデル(GLM)によるG-TELPスコアからTOEICスコアの推定モデルの構築:長崎大学学生の2011年から2016年のデータから | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 一般化線形モデル(GLM) | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 線形回帰モデル(LM) | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | G-TELP | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | TOEIC | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者 |
丸山, 真純
× 丸山, 真純× 小笠原, 真司× 宇都宮, 譲 |
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著者別名 | ||||||
姓名 | MARUYAMA, Masazumi | |||||
著者別名 | ||||||
姓名 | OGASAWARA, Shinji | |||||
著者別名 | ||||||
姓名 | UTSUNOMIYA, Yuzuru | |||||
その他のタイトル | ||||||
その他のタイトル | Estimating the TOEIC Scores from the G-TELP Scores by the Generalized Linear Model: From the Data Obtained from Nagasaki University Students from 2011 to 2016 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | This article aims to estimate the TOEIC scores from the G-TELP (Level 3) scores with the data obtained from Nagasaki University students from 2011 to 2016. The problems with the previous estimation research lie in the inadequate fit and the use of the linear regression model, which assumes residuals being normally distributed. This study uses both the linear regression model and the Generalized Linear Model (GLM), which can handle categorical variables and is more flexible in the assumption on error structure. Both departments and entrance years are included as factors in the GLM to predict the TOEIC scores from the G-TELP scores. The results indicate that the estimation by the GLM is better overall to predict the TOEIC scores than the linear regression model, suggesting (a) departments and entrance years should be included in the model in estimating the TOEIC scores, (b) as is the case with the previous research, the estimated scores in the lowest or the highest score ranges are not so precise, and (c) the GLM is more appropriate in estimating the scores than the traditional linear regression model. Further research should be necessary that will take into account individual differences and/or time lag between the two tests. |
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書誌情報 |
長崎大学言語教育研究センター論集 en : Journal of Center for Language Studies Nagasaki University 巻 6, p. 33-51, 発行日 2018-03-01 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 21898898 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA12609220 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
出版者 | ||||||
出版者 | 長崎大学言語教育研究センター | |||||
出版者別言語 | ||||||
Center for Language Studies Nagasaki University | ||||||
sortkey | ||||||
04 | ||||||
引用 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 長崎大学言語教育研究センター論集, 6, pp.33-51; 2018 |