{"created":"2023-05-15T15:28:55.496945+00:00","id":1097,"links":{},"metadata":{"_buckets":{"deposit":"5a84425e-60db-47bc-a6cc-62efef029e18"},"_deposit":{"created_by":3,"id":"1097","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"1097"},"status":"published"},"_oai":{"id":"oai:barrel.repo.nii.ac.jp:00001097","sets":["1:29"]},"author_link":["2479","32774"],"item_1_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1989","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"25","bibliographicPageEnd":"33","bibliographicPageStart":"15","bibliographicVolumeNumber":"16","bibliographic_titles":[{"bibliographic_title":"Behaviormetrika"}]}]},"item_1_description_18":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"\tA model, in which the means and the variance-covariance matrix of observed variables change with an external variable, is proposed. This is an extension of the analysis of covariance structures in several populations. Assuming that the observed variables, given the value of an external variable, have a multivariate normal distribution, the maximum likelihood estimates of the parameters in the model can be obtained by the Fisher's scoring method. The model with a constant variance-covariance matrix, the model with constant correlations, the model of a single common factor and the model of oblique multiple factors with constant factor loadings are disucussed for the model of the variance-covariance matrix. Finally, examples of intelligence test scores are provided, where the external variable is age.","subitem_description_type":"Abstract"}]},"item_1_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"32774","nameIdentifierScheme":"WEKO"}],"names":[{"name":"小笠原, 春彦"}]}]},"item_1_publisher_6":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"The Behaviormetric Society of Japan"}]},"item_1_relation_8":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/10.2333/bhmk.16.25_15","subitem_relation_type_select":"DOI"}}]},"item_1_rights_12":{"attribute_name":"権利表記","attribute_value_mlt":[{"subitem_rights":"ファイルの原本はJSTで公開されているものである。"}]},"item_1_rights_13":{"attribute_name":"出版社版URI","attribute_value_mlt":[{"subitem_rights":"http://joi.jlc.jst.go.jp/JST.Journalarchive/bhmk1974/16.25_15"}]},"item_1_source_id_11":{"attribute_name":"書誌ID（NCID）","attribute_value_mlt":[{"subitem_source_identifier":"AA12022276","subitem_source_identifier_type":"NCID"}]},"item_1_source_id_7":{"attribute_name":"ISSN / EISSN","attribute_value_mlt":[{"subitem_source_identifier":"1349-6964","subitem_source_identifier_type":"ISSN"}]},"item_1_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"417","subitem_subject_scheme":"NDC"}]},"item_1_subject_17":{"attribute_name":"NIIサブジェクト","attribute_value_mlt":[{"subitem_subject":"数学","subitem_subject_scheme":"Other"}]},"item_1_version_type_15":{"attribute_name":"テキストバージョン","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":"Ogasawara, Haruhiko"}],"nameIdentifiers":[{"nameIdentifier":"2479","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":"2016-01-23"}],"displaytype":"detail","filename":"BHMK16_15.pdf","filesize":[{"value":"748.0 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"BHMK16_15.pdf","url":"https://barrel.repo.nii.ac.jp/record/1097/files/BHMK16_15.pdf"},"version_id":"d4c56d8b-fb55-4676-888b-2e0fb4bd4544"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"covariance structure analysis","subitem_subject_scheme":"Other"},{"subitem_subject":"maximum likelihood factor analysis","subitem_subject_scheme":"Other"},{"subitem_subject":"multiple populations","subitem_subject_scheme":"Other"},{"subitem_subject":"multivariate regression analysis","subitem_subject_scheme":"Other"},{"subitem_subject":"Fisher's scoring method","subitem_subject_scheme":"Other"},{"subitem_subject":"structured means","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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Covariance structure analysis of continuously changing populations.","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Covariance structure analysis of continuously changing populations."}]},"item_type_id":"1","owner":"3","path":["4","29"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-11-19"},"publish_date":"2008-11-19","publish_status":"0","recid":"1097","relation_version_is_last":true,"title":["Covariance structure analysis of continuously changing populations."],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-07-20T07:46:51.725229+00:00"}