{"created":"2021-03-01T06:08:37.012391+00:00","id":2223,"links":{},"metadata":{"_buckets":{"deposit":"96da091f-9b85-4659-ad91-bf63570bc3fd"},"_deposit":{"created_by":17,"id":"2223","owners":[17],"pid":{"revision_id":0,"type":"depid","value":"2223"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:00002223","sets":["323:350:373:394"]},"author_link":["5944","5945"],"item_1615768549627":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_9_alternative_title_19":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"METHOD FOR DESCRIPTION OF FACTOR CHANGE IN THREE-MODE DATA (I) : FACTOR ANALYTICAL MODELS","subitem_alternative_title_language":"en"}]},"item_9_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1983-12-24","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"176","bibliographicPageStart":"145","bibliographicVolumeNumber":"30","bibliographic_titles":[{"bibliographic_title":"名古屋大學教育學部紀要. 教育心理学科","bibliographic_titleLang":"ja"}]}]},"item_9_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper presents and compares several factor analytic models, some of which are new, dealing with threemode data, especially longitudinal or multitrait-multimethod data. Consider the following factor equation for kth occasion: [numerical formula] where Z_k the N×n matrix of standard scores on the variables, F_k is the N×q matrix of factor scores, A_k is the n×q matrix of factor loadings, and U_k is the N×n matrix of unique scores. Under the appropriate assumptions, it is derived that [numerical formula] where R_<kk'> is the matrix of inter variable correlations, S_<kk'> is the matrix of inter factor scores correlations (or covariances), and Δ_<kk'> is the matrix of inter unique score covariances, repectively, between kth and k'th occasions. Various models can be formulated corresponding to the assumptions on A_k and S_<kk'>. Main models and their assumptions are as follows: 1.1 General model: [numerical formula] 1.3 Longitudinal factor analysis model (Corballis, 1973): [numerical formula] where D_<kk'> is the diagonal matrix. 1.4 Multimethod factor analysis model (Jackson, 1975): [numerical formula] 2.1 Common factor loading model: [numerical formula] 2.2 Invariant factor loading model (Hakstian, 1973): [numerical formula] 2.4 Quasi three-mode factor analysis model: [numerical formula] 2.6 Extended PARAFAC model: [numerical formula] 3.1 Common factor score model: [numerical formula] 4. Invariant Model: [numerical formula] Least squares alogorithm which minimizes the quantity, [numerical formula] where R^†_<kk> is defined as [numerical formula] is formulated for each model. Analysis of Kelly & Fiske's multitrait-multimethod matrix is attached as a numerical example, and the type of the factor change described by each model is discussed.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_9_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"国立情報学研究所で電子化したコンテンツを使用している。","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_9_identifier_60":{"attribute_name":"URI","attribute_value_mlt":[{"subitem_identifier_type":"HDL","subitem_identifier_uri":"http://hdl.handle.net/2237/3646"}]},"item_9_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.18999/bulfep.30.145","subitem_identifier_reg_type":"JaLC"}]},"item_9_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"名古屋大学教育学部","subitem_publisher_language":"ja"}]},"item_9_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_9_source_id_7":{"attribute_name":"ISSN（print）","attribute_value_mlt":[{"subitem_source_identifier":"03874796","subitem_source_identifier_type":"PISSN"}]},"item_9_text_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_text_value":"application/pdf"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"村上, 隆","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"5944","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"MURAKAMI, Takashi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"5945","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":"2018-02-16"}],"displaytype":"detail","filename":"KJ00000726027.pdf","filesize":[{"value":"2.4 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"KJ00000726027.pdf","objectType":"fulltext","url":"https://nagoya.repo.nii.ac.jp/record/2223/files/KJ00000726027.pdf"},"version_id":"eb33617c-3c80-4f3c-9314-7e83512b0e79"}]},"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":"3相データにおける因子変化の記述のための諸方法(I) : 因子分析型のモデル","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"3相データにおける因子変化の記述のための諸方法(I) : 因子分析型のモデル","subitem_title_language":"ja"}]},"item_type_id":"9","owner":"17","path":["394"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2006-01-06"},"publish_date":"2006-01-06","publish_status":"0","recid":"2223","relation_version_is_last":true,"title":["3相データにおける因子変化の記述のための諸方法(I) : 因子分析型のモデル"],"weko_creator_id":"17","weko_shared_id":-1},"updated":"2023-11-09T02:05:37.544582+00:00"}