{"created":"2023-05-15T16:30:12.416465+00:00","id":1251,"links":{},"metadata":{"_buckets":{"deposit":"d3a4ec4d-399b-46cb-8e87-dd15f2461ce5"},"_deposit":{"created_by":2,"id":"1251","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"1251"},"status":"published"},"_oai":{"id":"oai:nagasaki-u.repo.nii.ac.jp:00001251","sets":["96:97:98:139"]},"author_link":["5837","5839","5841","5842","5838","5840"],"item_3_alternative_title_19":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"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"}]},"item_3_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-03-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"51","bibliographicPageStart":"33","bibliographicVolumeNumber":"6","bibliographic_titles":[{"bibliographic_title":"長崎大学言語教育研究センター論集"},{"bibliographic_title":"Journal of Center for Language Studies Nagasaki University","bibliographic_titleLang":"en"}]}]},"item_3_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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 \nresearch 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\nentrance 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\nis 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.","subitem_description_type":"Abstract"}]},"item_3_description_64":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"長崎大学言語教育研究センター論集, 6, pp.33-51; 2018","subitem_description_type":"Other"}]},"item_3_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"5840","nameIdentifierScheme":"WEKO"}],"names":[{"name":"MARUYAMA, Masazumi"}]},{"nameIdentifiers":[{"nameIdentifier":"5841","nameIdentifierScheme":"WEKO"}],"names":[{"name":"OGASAWARA, Shinji"}]},{"nameIdentifiers":[{"nameIdentifier":"5842","nameIdentifierScheme":"WEKO"}],"names":[{"name":"UTSUNOMIYA, Yuzuru"}]}]},"item_3_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"長崎大学言語教育研究センター"}]},"item_3_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12609220","subitem_source_identifier_type":"NCID"}]},"item_3_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"21898898","subitem_source_identifier_type":"ISSN"}]},"item_3_text_62":{"attribute_name":"sortkey","attribute_value_mlt":[{"subitem_text_value":"04"}]},"item_3_text_63":{"attribute_name":"出版者別言語","attribute_value_mlt":[{"subitem_text_value":"Center for Language Studies Nagasaki University"}]},"item_3_version_type_16":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"丸山, 真純"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小笠原, 真司"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宇都宮, 譲"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-12-18"}],"displaytype":"detail","filename":"JCLS6_33.pdf","filesize":[{"value":"1.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"JCLS6_33.pdf","url":"https://nagasaki-u.repo.nii.ac.jp/record/1251/files/JCLS6_33.pdf"},"version_id":"959ca1fb-8b03-4ad8-8aa2-5bf9c17c9518"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般化線形モデル（GLM）","subitem_subject_scheme":"Other"},{"subitem_subject":"線形回帰モデル（LM）","subitem_subject_scheme":"Other"},{"subitem_subject":"G-TELP","subitem_subject_scheme":"Other"},{"subitem_subject":"TOEIC","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"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","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"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"}]},"item_type_id":"3","owner":"2","path":["139"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-08-20"},"publish_date":"2018-08-20","publish_status":"0","recid":"1251","relation_version_is_last":true,"title":["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"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-16T04:05:04.351492+00:00"}