{"created":"2023-05-15T12:26:01.459594+00:00","id":18711,"links":{},"metadata":{"_buckets":{"deposit":"fc30216e-058f-4251-ae48-9ace5b48b309"},"_deposit":{"created_by":1,"id":"18711","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"18711"},"status":"published"},"_oai":{"id":"oai:kansai-u.repo.nii.ac.jp:00018711","sets":["528:1385:1386:2516"]},"author_link":["44311","44310"],"item_10_alternative_title_20":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"A Comparison of Factor Analysis Programs in SPSS, SAS and FAC-PAC"}]},"item_10_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1984-12-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"245","bibliographicPageStart":"225","bibliographicVolumeNumber":"16","bibliographic_titles":[{"bibliographic_title":"関西大学社会学部紀要"}]}]},"item_10_description_4":{"attribute_name":"概要","attribute_value_mlt":[{"subitem_description":"実質科学的な利用の利便性や正確性の観点から，3つの因子分析プログラム・パッケージ（SPSS，SAS，FAC-PAC）が比較された。比較のための数値データとして，Harmanの24変量の心理テストと寺島・辻岡の集団ロールシャッハ・テスト（200項目変量）が使われた。SASとFAC-PACのScreeプロットを比較すると，SASは正確な抽出因子数の発見に役立たなかった。因子布置図のプロットに関して，SPSSは直交のVarimax解をプロットするのみであるが，SASとFAC-PAC は直交解はもちろん斜交解のプロットも可能である。しかしながら，FAC-PACよりもSASにおいてより多くの問題点が存在する。SASの分析の上限は250変量であるが，FAC-PACは無制限である。また，FAC-PACは，因子布置図上での各変量を識別するために約16,000個のラベルが使用可能であり，因子の解釈にも極めて有効である。","subitem_description_type":"Other"},{"subitem_description":"Three factor analytic program packages : SPSS, SAS and FAC-PAC are compared in terms of convenience and exact usage for users. As input numerical data for comparison, Harman's 24 Psychological Tests and Terashima and Tsujioka's Group Rorschach Test (200 items) were used. Comparing the outputs of Scree Plots (SAS & FAC-PAC), SAS failed to detect the correct number of factors to be extracted. Concerning the factor configuration plots, SPSS has only orthogonal factors plots (varimax), while SAS and FAC-PAC have also oblique factors plots. However, it is extremely more difficult in SAS to identify the variables used than in FAC-PAC. With regard to the number of variables to be analyzed SAS is limitted to less than 250, while in FAC-PAC there is no limitation, and the number of labels to be used for identification on the factor-plots will be more than 16,000 and we can so choose convenient labels under the hypothesis in the factor-analytic research as to be able to identify and confirm the meanings of the factors. (author abstract)","subitem_description_type":"Other"}]},"item_10_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"44311","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Higashimura, Takayoshi"}]}]},"item_10_publisher_34":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"関西大学社会学部"}]},"item_10_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00046982","subitem_source_identifier_type":"NCID"}]},"item_10_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"02876817","subitem_source_identifier_type":"ISSN"}]},"item_10_version_type_17":{"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":"東村, 高良"}],"nameIdentifiers":[{"nameIdentifier":"44310","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":"2021-03-08"}],"displaytype":"detail","filename":"KU-1100-19841221-09.pdf","filesize":[{"value":"1.7 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"KU-1100-19841221-09.pdf","url":"https://kansai-u.repo.nii.ac.jp/record/18711/files/KU-1100-19841221-09.pdf"},"version_id":"2555a4a9-2347-4f41-a85f-4d0fd4a761f0"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータ・プログラム・パッケージ","subitem_subject_scheme":"Other"},{"subitem_subject":"因子分析","subitem_subject_scheme":"Other"},{"subitem_subject":"SPSS","subitem_subject_scheme":"Other"},{"subitem_subject":"SAS","subitem_subject_scheme":"Other"},{"subitem_subject":"FAC-PAC","subitem_subject_scheme":"Other"},{"subitem_subject":"computer program package","subitem_subject_scheme":"Other"},{"subitem_subject":"factor analysis","subitem_subject_scheme":"Other"},{"subitem_subject":"関西大学","subitem_subject_scheme":"Other"},{"subitem_subject":"Kansai University","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":"SAS，SPSS，FAC-PACにおける因子分析プログラムの比較","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"SAS，SPSS，FAC-PACにおける因子分析プログラムの比較"}]},"item_type_id":"10","owner":"1","path":["2516"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-08"},"publish_date":"2021-03-08","publish_status":"0","recid":"18711","relation_version_is_last":true,"title":["SAS，SPSS，FAC-PACにおける因子分析プログラムの比較"],"weko_creator_id":"1","weko_shared_id":1},"updated":"2023-05-15T20:37:24.734032+00:00"}