{"created":"2023-06-19T08:37:54.693047+00:00","id":4656,"links":{},"metadata":{"_buckets":{"deposit":"0b856f63-e4b8-4674-b992-3ea73e2113b2"},"_deposit":{"created_by":2,"id":"4656","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"4656"},"status":"published"},"_oai":{"id":"oai:gunma-u.repo.nii.ac.jp:00004656","sets":["535:680:714"]},"author_link":["11876","11880","11872","11873","11874","11879","11878","11875","11877"],"item_5_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"An Attempt to Automate the Integration of Factor Analysis and Construction of Causal M odels"}]},"item_5_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2016-02-18","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"109","bibliographicPageStart":"101","bibliographicVolumeNumber":"51","bibliographic_titles":[{"bibliographic_title":"群馬大学教育学部紀要. 芸術・技術・体育・生活科学編"}]}]},"item_5_creator_3":{"attribute_name":"著者(ヨミ)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"フルタ, タカヒサ"}],"nameIdentifiers":[{"nameIdentifier":"11875","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"ハットリ, ミツヒロ"}],"nameIdentifiers":[{"nameIdentifier":"11876","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"ハシヅメ, トモノリ"}],"nameIdentifiers":[{"nameIdentifier":"11877","nameIdentifierScheme":"WEKO"}]}]},"item_5_creator_4":{"attribute_name":"著者別名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Furuta, Takahisa"}],"nameIdentifiers":[{"nameIdentifier":"11878","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Hattori, Mitsuhiro"}],"nameIdentifiers":[{"nameIdentifier":"11879","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Hashizume, 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Paper","subitem_description_type":"Other"}]},"item_5_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本研究では、因子分析と因果モデル生成との効率的な統合を目標に、因子をランダム・サンプリングで構成し、それらの因子間の因果モデルを、因子間の固定した因果関係を与えた場合と、ベイジアン・ネットワークでデータから動的に構成した場合の2通りの方法で自動探索を試みた。対象としたデータは、2014年に群馬県内の2つの中学校で、技術の「計測と制御」単元で実施した、コンピュータと情報および問題解決に関する意識調査への回答である。因子の総数を4つとして、1,000万回のランダム・サンプリングで全探索空間の0.13％ずつを探索したところ、30～130通りの因果モデルが生成された。因果関係の終端ノードを「プログラミングが好き」とした場合、4因子の因果モデルでは1モデルの統計的妥当性が確認された。が、「IT・理工系職業への関心」を終端ノードとした場合は、妥当なモデルが生成されなかった。得られたモデルの内容は、教材研究上の有益な示唆を与えるものであった。探索空間の広さをいかに制限するかが課題である。","subitem_description_type":"Abstract"}]},"item_5_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"群馬大学教育学部"}]},"item_5_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00068475","subitem_source_identifier_type":"NCID"}]},"item_5_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0533-6627","subitem_source_identifier_type":"ISSN"}]},"item_5_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":"古田, 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computers","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"因子分析と因果モデル構成の統合を自動化する試み","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"因子分析と因果モデル構成の統合を自動化する試み"}]},"item_type_id":"5","owner":"2","path":["714"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-05-24"},"publish_date":"2016-05-24","publish_status":"0","recid":"4656","relation_version_is_last":true,"title":["因子分析と因果モデル構成の統合を自動化する試み"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-06-19T12:29:32.617870+00:00"}