{"created":"2023-05-15T09:29:28.117701+00:00","id":142,"links":{},"metadata":{"_buckets":{"deposit":"87a549fb-4869-4d6d-abdc-bb52773094d2"},"_deposit":{"created_by":14,"id":"142","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"142"},"status":"published"},"_oai":{"id":"oai:icu.repo.nii.ac.jp:00000142","sets":["12:27:28:30"]},"author_link":["129","5953","128","5952"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2010-03-31","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicPageEnd":"47","bibliographicPageStart":"25","bibliographic_titles":[{"bibliographic_title":"ICU 日本語教育研究"},{"bibliographic_title":"ICU Studies in Japanese Language Education","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"　本研究は、「個人態度構造分析(Personal Attitude Construct Analysis: PAC 分析)」におい\nて活用されるデンドログラム（樹形図）の形状が、利用する統計ソフトウェアによって\n異なることがPAC 分析に与える影響について考察したものである。\n具体的には、調査協力者が提示した非類似度評定結果に基づき、SPSS とHALBAU と\nいう二種類のソフトウェアを用いて、階層的クラスター分析でデンドログラムを描き、\nそれに基づいたPAC 分析インタビューをそれぞれ実施した。その二つのインタビュー\nの相違を分析した結果、デンドログラム上の連想語の並び順が少なからず調査協力者の\n内面探索に関与して違いを生じさせた可能性が観察された。また、同じデータを非階層\n的クラスター分析、多次元尺度法など、異なる統計処理にかけた結果との比較分析にお\nいて、階層的クラスター分析で描かれるデンドログラムがその性質上、元データと異な\nる項目関係を一部示している可能性が高いことがわかった。\n本稿では、これらの分析に基づき、PAC 分析における、より「好ましい」統計処理の\nあり方として、異なる方法でデンドログラムを描いてより適切な形状ものを検討する重\n要性を指摘し、研究結果を記述する際には、非類似度評定の結果を開示すること、検証\n可能な程度に統計処理過程を記述することを提案した。","subitem_description_type":"Abstract"},{"subitem_description":"　This paper discusses the preferable way to confront the fact that dedrograms used in\nPersonal Attitude Construct Analysis (PAC analysis) differ from software to software.\nFirstly, a subject Japanese teacher’s (Teacher X) beliefs were examined by PAC analysis\ntwice (one by SPSS software and the other by HALBAU software for clustering) and the contents of the two interviews were compared. Secondly, the same data was analyzed by other statistical analysis programs namely ALSCAL and K-means, and this paper discusses how and why the clustering differs. Lastly, this paper points out that researchers need to be attentive to such differences during and after interviews and to analyze their data using different statistic analysis programs to verify the adequacy of the dendrograms and interpretation of the interview. As an additional point, this study points out the necessity to describe statistical processes well enough for others to verify the adequacy.","subitem_description_type":"Abstract"}]},"item_10002_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"5952","nameIdentifierScheme":"WEKO"}],"names":[{"name":"OZAWA, Ikumi"}]},{"nameIdentifiers":[{"nameIdentifier":"5953","nameIdentifierScheme":"WEKO"}],"names":[{"name":"MARUYAMA, Chika"}]}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"国際基督教大学 日本語教育研究センター"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1880-0122","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小澤, 伊久美"}],"nameIdentifiers":[{"nameIdentifier":"128","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"丸山, 千歌"}],"nameIdentifiers":[{"nameIdentifier":"129","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2014-01-10"}],"displaytype":"detail","filename":"6_01-2日本語教育研究_第6号_論文_小澤・丸山.pdf","filesize":[{"value":"1.5 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"PAC 分析における好ましい統計処理とは","url":"https://icu.repo.nii.ac.jp/record/142/files/6_01-2日本語教育研究_第6号_論文_小澤・丸山.pdf"},"version_id":"73fb0edf-1eff-4410-bde6-c6ebcf8c17d3"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"PAC 分析","subitem_subject_scheme":"Other"},{"subitem_subject":"統計処理","subitem_subject_scheme":"Other"},{"subitem_subject":"ソフトウェア","subitem_subject_scheme":"Other"},{"subitem_subject":"デンドログラムの相違","subitem_subject_scheme":"Other"},{"subitem_subject":"クラスター分析","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":"PAC 分析における好ましい統計処理とは　　ソフトウェアによってデンドログラムが相違する問題への対処のために","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"PAC 分析における好ましい統計処理とは　　ソフトウェアによってデンドログラムが相違する問題への対処のために"},{"subitem_title":"What is the Preferable Statistical Processing for PAC Analysis: Dealing with differences of results according to software","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"14","path":["30"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-01-10"},"publish_date":"2014-01-10","publish_status":"0","recid":"142","relation_version_is_last":true,"title":["PAC 分析における好ましい統計処理とは　　ソフトウェアによってデンドログラムが相違する問題への対処のために"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2023-05-16T09:44:08.300332+00:00"}