{"created":"2023-07-25T10:33:42.667035+00:00","id":8107,"links":{},"metadata":{"_buckets":{"deposit":"cd70aad2-f633-48c4-87ac-9e0c9e46cac2"},"_deposit":{"created_by":1,"id":"8107","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"8107"},"status":"published"},"_oai":{"id":"oai:senshu-u.repo.nii.ac.jp:00008107","sets":["27:32:57:918:923:927"]},"author_link":["3072","3071"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-03","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"47","bibliographicPageStart":"31","bibliographicVolumeNumber":"4","bibliographic_titles":[{"bibliographic_title":"ソーシャル・ウェルビーイング研究論集"}]}]},"item_10002_creator_2":{"attribute_name":"作成者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小林, 盾"}],"nameIdentifiers":[{"nameIdentifier":"3071","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"ホメリヒ, カローラ"}],"nameIdentifiers":[{"nameIdentifier":"3072","nameIdentifierScheme":"WEKO"}]}]},"item_10002_description_25":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"文部科学省私立大学戦略的研究基盤形成支援事業(平成26年度～平成30年度)","subitem_description_type":"Other"},{"subitem_description":"この論文は,幸せをどのような言葉で表現すると,人びとの幸福度が変わるのかを検討する.そのために,幸福の質的データである自由回答が,量的データである主観的幸福感とどう関連するのかを分析する.先行研究では,検討されていない分野だった.そこで,ランダム・サンプリングに基づく郵送調査を実施して,データ収集した(分析対象は265人).自由回答は「幸せとは一言でいうと何ですか」と質問し,テキスト・マイニング分析(計量テキスト分析)によって7カテゴリへと割りふった.主観的幸福感は,4段階で測定した.その結果,(1)自由回答カテゴリから,幸福として心理的安定をイメージする人が最多で半分以上おり,これに健康,家族,生活観が続いた.(2)主観的幸福感を従属変数とした回帰分析から,家族や生活観をイメージした人ほど幸福を有意に感じていたが,収入・仕事の想起は幸福感を有意に低下させた.以上から,家族や生活にまつわる言葉は,いわばアクセルとなって人びとを幸福にし,収入や仕事にまつわる言葉はその逆にブレーキとなっていた.こうした結果は,混合研究法アプローチによって,(自由回答という)多様性のある質的データを,同じ対象者の(主観的幸福感という)比較可能な量的データに有機的に結合させることで,はじめて得られた.","subitem_description_type":"Other"},{"subitem_description":"This paper scrutinizes how open-ended answers on happiness affect subjective happiness in Japan. The literature has overlooked such effects. So, to collect data, a mail survey was conducted on a representative sample in Nishi-Tokyo city in Tokyo (sample size is 265). Respondents are asked how to express happiness in a word. These answers are categorized into seven groups by a text mining analysis. Subjective happiness is measured on a four-point scale. Following are revealed. (1) By distribution, half of respondents recall \"mental stability\" and related words, followed by health, family, and everyday life. (2) By regression analysis, respondents feel happier if they imagine family or everyday life. Income and employment, on the other hand, reduce happiness. Therefore, words like family and everyday life boost happiness as non-material conditions, while those like income and employment lower happiness as material conditions. These findings can be obtained only when mixed methods approaches are used so that qualitative data are organically combined with quantitative data of the same respondents.","subitem_description_type":"Other"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.34360/00008101","subitem_identifier_reg_type":"JaLC"}]},"item_10002_publisher_26":{"attribute_name":"公開者","attribute_value_mlt":[{"subitem_publisher":"専修大学社会知性開発研究センター/ソーシャル・ウェルビーイング研究センター"}]},"item_10002_source_id_29":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12716049 ","subitem_source_identifier_type":"NCID"}]},"item_10002_title_1":{"attribute_name":"別言語のタイトル(英)","attribute_value_mlt":[{"subitem_title":"What Words Make People Happy? : A Mixed Methods Approach by Text Mining Analyses of Open-ended Data in Japan"}]},"item_10002_version_type_20":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_be7fb7dd8ff6fe43","subitem_version_type":"NA"}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-06-05"}],"displaytype":"detail","filename":"2101_0004_07.pdf","filesize":[{"value":"1.8 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"2101_0004_07.pdf","url":"https://senshu-u.repo.nii.ac.jp/record/8107/files/2101_0004_07.pdf"},"version_id":"4ace1822-566c-4c9c-b107-f3ebf6b225db"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"幸福","subitem_subject_scheme":"Other"},{"subitem_subject":"テキスト・マイニング分析","subitem_subject_scheme":"Other"},{"subitem_subject":"混合研究法","subitem_subject_scheme":"Other"},{"subitem_subject":"Jun","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Kobayashi","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Carola","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Hommerich","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Happiness","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"text mining analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"mixed methods","subitem_subject_language":"en","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":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"どのような言葉が人を幸せにするのか : 自由回答のテキスト・マイニング分析を用いた混合研究法アプローチ","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"どのような言葉が人を幸せにするのか : 自由回答のテキスト・マイニング分析を用いた混合研究法アプローチ"}]},"item_type_id":"10002","owner":"1","path":["927"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-06-05"},"publish_date":"2018-06-05","publish_status":"0","recid":"8107","relation_version_is_last":true,"title":["どのような言葉が人を幸せにするのか : 自由回答のテキスト・マイニング分析を用いた混合研究法アプローチ"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-07-25T13:26:16.544087+00:00"}