{"created":"2023-05-15T12:19:31.834255+00:00","id":9816,"links":{},"metadata":{"_buckets":{"deposit":"76363035-15d0-4cef-861d-1f364326cf02"},"_deposit":{"created_by":1,"id":"9816","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"9816"},"status":"published"},"_oai":{"id":"oai:kansai-u.repo.nii.ac.jp:00009816","sets":["528:1385:1436"]},"author_link":["19864","19865"],"item_9_alternative_title_20":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"An Analysis of Missing Data in Contingency Tables: A Case of Intergenerational Mobility in Education"}]},"item_9_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2000","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"180","bibliographicPageStart":"165","bibliographicVolumeNumber":"15","bibliographic_titles":[{"bibliographic_title":"理論と方法"}]}]},"item_9_description_4":{"attribute_name":"概要","attribute_value_mlt":[{"subitem_description":"クロス集計表に含まれる欠損データの取り扱いについて、学歴移動表を例にして考察をする。欠損データは，ある調査項目に対する回答拒否や無回答によって発生し、近年その増加が問題になっている。欠損データを持つケースは不完全ケースとして分析の対象から除外されることが多いが、この対処方法は分析結果に偏りを与える。クロス集計表の欠損データを適切に処理するためには、ログリニア・モデル（対数線型モデル）を応用した欠損データの帰属推定が有効である。1985年SSM調査の学歴移動表を例に、欠損データを無視した分析の結果と欠損データを考慮に入れた分析の結果を比較した。この学歴移動表では父親学歴の欠損が分析結果に偏りを与えている。比較の結果、欠損データを無視した分析では中等教育から義務教育への下降移動を過小評価していることが明らかになった。Missing data occur from a refusal or nonresponse in the process of social surveys. The amount of missing data is recently increasing and raising serious problems for sociological researchers.They mostly treat respondents that include missing data as \"incomplete cases,\" and exclude them all from an analysis.This procedure gives a bias to the result of any analysis. In this paper,we show that the imputation of missing data by log-linear models is useful for appropriate treatment of missing data. We took a contingency table of intergenerational mobility in education as an example and compared the results of two analyses;one considered an impact of missing data,the other didn't at all. We found that the analysis excluding missing data overlooked the large amount of downward mobility. Especially,the mobility from secondary education of fathers to compulsory education of children was distorted.","subitem_description_type":"Other"}]},"item_9_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"19865","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Yasuda, Tokio"}]}]},"item_9_publisher_34":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"数理社会学会"}]},"item_9_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09131442","subitem_source_identifier_type":"ISSN"}]},"item_9_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":"保田, 時男"}],"nameIdentifiers":[{"nameIdentifier":"19864","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"70388388","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000070388388"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-05-22"}],"displaytype":"detail","filename":"KU-1100-20000000-10.pdf","filesize":[{"value":"1.3 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"KU-1100-20000000-10.pdf","url":"https://kansai-u.repo.nii.ac.jp/record/9816/files/KU-1100-20000000-10.pdf"},"version_id":"1b1b3061-4591-4c75-9e12-5b450273d81d"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"欠損データ","subitem_subject_scheme":"Other"},{"subitem_subject":"ログリニア・モデル","subitem_subject_scheme":"Other"},{"subitem_subject":"学歴移動","subitem_subject_scheme":"Other"},{"subitem_subject":"missing data","subitem_subject_scheme":"Other"},{"subitem_subject":"log-linear model","subitem_subject_scheme":"Other"},{"subitem_subject":"social mobility in education","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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"クロス集計表における欠損データの分析―学歴移動表を例として―","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"クロス集計表における欠損データの分析―学歴移動表を例として―"}]},"item_type_id":"9","owner":"1","path":["1436"],"pubdate":{"attribute_name":"公開日","attribute_value":"2012-06-18"},"publish_date":"2012-06-18","publish_status":"0","recid":"9816","relation_version_is_last":true,"title":["クロス集計表における欠損データの分析―学歴移動表を例として―"],"weko_creator_id":"1","weko_shared_id":1},"updated":"2023-05-15T15:54:17.884135+00:00"}