{"created":"2023-05-15T15:28:51.577237+00:00","id":1008,"links":{},"metadata":{"_buckets":{"deposit":"36b0c8b2-65bd-48e0-9807-056130ce9b9f"},"_deposit":{"created_by":3,"id":"1008","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"1008"},"status":"published"},"_oai":{"id":"oai:barrel.repo.nii.ac.jp:00001008","sets":["1:29"]},"author_link":["2288","32392"],"item_1_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1989","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"15","bibliographicPageStart":"1","bibliographicVolumeNumber":"17","bibliographic_titles":[{"bibliographic_title":"行動計量学"}]}]},"item_1_description_18":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"\tIn this paper, we propose an individual-difference model based on the models by Samejima(1969) and Andrich (1978a), that can be effectively used in the analysis of ordered categorical responese. In this model each individual has his own values of the thresholds of categories with proportional intervals. The method of maximum likelihood estimation for the parameters in the model, using Fisher's scoring method, is presented. The advantage of the model is that it is possible to estimate the thresholds' parameters even when an individual has no responses for some categories. Finally, an example is presented, in which the model provides productive findings.","subitem_description_type":"Abstract"}]},"item_1_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"2288","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Ogasawara, Haruhiko"}]}]},"item_1_publisher_6":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"行動計量学会"}]},"item_1_source_id_11":{"attribute_name":"書誌ID（NCID）","attribute_value_mlt":[{"subitem_source_identifier":"AN0008437X","subitem_source_identifier_type":"NCID"}]},"item_1_source_id_7":{"attribute_name":"ISSN / EISSN","attribute_value_mlt":[{"subitem_source_identifier":"0385-5481","subitem_source_identifier_type":"ISSN"}]},"item_1_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"410","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":"小笠原, 春彦"}],"nameIdentifiers":[{"nameIdentifier":"32392","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":"行動計学17(1)_1-15.pdf","filesize":[{"value":"678.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"行動計学17(1)_1-15.pdf","url":"https://barrel.repo.nii.ac.jp/record/1008/files/行動計学17(1)_1-15.pdf"},"version_id":"879fb2b2-6a52-437c-9826-6b1bdd27de5e"}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"刺激―反応データにおける順序 : カテゴリー間隔比例モデル","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"刺激―反応データにおける順序 : カテゴリー間隔比例モデル"},{"subitem_title":"Proportional Interval Model of Ordered Categories for The Stimulus-Response Data","subitem_title_language":"en"}]},"item_type_id":"1","owner":"3","path":["4","29"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-10-28"},"publish_date":"2008-10-28","publish_status":"0","recid":"1008","relation_version_is_last":true,"title":["刺激―反応データにおける順序 : カテゴリー間隔比例モデル"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-07-20T08:10:12.756516+00:00"}