{"_buckets": {"deposit": "b722e6db-d2f9-4015-8383-76502bb839db"}, "_deposit": {"id": "2404", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "2404"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00002404"}, "item_9_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "\u003cORIGINAL ARTICLE\u003eMarginal Maximum Likelihood Estimation of the Equating Coefficients for Two IRT Scales Using Common Subjects\u0027 Design"}]}, "item_9_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "1990-12-25", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "198", "bibliographicPageStart": "191", "bibliographicVolumeNumber": "37", "bibliographic_titles": [{"bibliographic_title": "\u540d\u53e4\u5c4b\u5927\u5b78\u6559\u80b2\u5b78\u90e8\u7d00\u8981. \u6559\u80b2\u5fc3\u7406\u5b66\u79d1"}]}]}, "item_9_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "In the present paper, an equating method of two scales upon two separate tests using common subjects\u0027 item response patterns for both tests is proposed, and examined its applicability in actual IRT scales\u0027 equating situations. We assume that there are two IRT scales based upon test X and Y respectively. In the new method, each subjects\u0027 item response patterns for various tests are obtained, and then marginal maximum likelihood estimates of the equating coefficients k, l are extracted from these data, while, simultaneous maximum likelihood estimates were extracted in Noguchi (1986). The equating coefficients k, l are estimated by solving simultaneous non-linear equations, (29) and (30). In this paper, test X and Y are formed with 10 ideal test items respectively. Item parameters of them are given in Table 1. By computer simulational item response data for these tests, validity of this method is examined in two situations, such as changing the true equating coefficients (k=1.0,l=0.0 and k=0.9,l=-0.8) and the number of subjects (N=250,500,1000,2000). As a consequence, this new equating method proves to be valid in almost all cases in the simulational studies.", "subitem_description_type": "Abstract"}]}, "item_9_description_5": {"attribute_name": "\u5185\u5bb9\u8a18\u8ff0", "attribute_value_mlt": [{"subitem_description": "\u56fd\u7acb\u60c5\u5831\u5b66\u7814\u7a76\u6240\u3067\u96fb\u5b50\u5316\u3057\u305f\u30b3\u30f3\u30c6\u30f3\u30c4\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u3002", "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/2237/3827"}]}, "item_9_identifier_registration": {"attribute_name": "ID\u767b\u9332", "attribute_value_mlt": [{"subitem_identifier_reg_text": "10.18999/bulfep.37.191", "subitem_identifier_reg_type": "JaLC"}]}, "item_9_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u540d\u53e4\u5c4b\u5927\u5b66\u6559\u80b2\u5b66\u90e8"}]}, "item_9_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_9_source_id_7": {"attribute_name": "ISSN\uff08print\uff09", "attribute_value_mlt": [{"subitem_source_identifier": "03874796", "subitem_source_identifier_type": "ISSN"}]}, "item_9_text_14": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u91ce\u53e3, \u88d5\u4e4b"}], "nameIdentifiers": [{"nameIdentifier": "6625", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "NOGUCHI, Hiroyuki G."}], "nameIdentifiers": [{"nameIdentifier": "6626", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-16"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "KJ00000137340.pdf", "filesize": [{"value": "604.3 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 604300.0, "url": {"label": "KJ00000137340.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/2404/files/KJ00000137340.pdf"}, "version_id": "0e0a903f-dd58-4db3-b6e9-70b3a65f3568"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "item response theory", "subitem_subject_scheme": "Other"}, {"subitem_subject": "equating", "subitem_subject_scheme": "Other"}, {"subitem_subject": "item parameters", "subitem_subject_scheme": "Other"}, {"subitem_subject": "marginal maximum likelihood estimation", "subitem_subject_scheme": "Other"}, {"subitem_subject": "common subjects\u0027 design", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "departmental bulletin paper", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "\u003c\u539f\u8457\u003e\u5171\u901a\u88ab\u9a13\u8005\u30c7\u30b6\u30a4\u30f3\u306b\u304a\u3051\u308b\u7b49\u5316\u4fc2\u6570\u306e\u5468\u8fba\u6700\u5c24\u6cd5\u306b\u3088\u308b\u63a8\u5b9a", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "\u003c\u539f\u8457\u003e\u5171\u901a\u88ab\u9a13\u8005\u30c7\u30b6\u30a4\u30f3\u306b\u304a\u3051\u308b\u7b49\u5316\u4fc2\u6570\u306e\u5468\u8fba\u6700\u5c24\u6cd5\u306b\u3088\u308b\u63a8\u5b9a"}]}, "item_type_id": "9", "owner": "1", "path": ["323/350/373/401"], "permalink_uri": "https://doi.org/10.18999/bulfep.37.191", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2006-01-06"}, "publish_date": "2006-01-06", "publish_status": "0", "recid": "2404", "relation": {}, "relation_version_is_last": true, "title": ["\u003c\u539f\u8457\u003e\u5171\u901a\u88ab\u9a13\u8005\u30c7\u30b6\u30a4\u30f3\u306b\u304a\u3051\u308b\u7b49\u5316\u4fc2\u6570\u306e\u5468\u8fba\u6700\u5c24\u6cd5\u306b\u3088\u308b\u63a8\u5b9a"], "weko_shared_id": null}