{"id":3590,"date":"2023-07-16T16:22:04","date_gmt":"2023-07-16T16:22:04","guid":{"rendered":"https:\/\/statorials.org\/id\/cohens-kappa-di-sungai\/"},"modified":"2023-07-16T16:22:04","modified_gmt":"2023-07-16T16:22:04","slug":"cohens-kappa-di-sungai","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/cohens-kappa-di-sungai\/","title":{"rendered":"Cara menghitung kappa cohen di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Dalam statistik, <a href=\"https:\/\/statorials.org\/id\/statistik-cohens-kappa\/\" target=\"_blank\" rel=\"noopener\">Kappa Cohen<\/a> digunakan untuk mengukur tingkat kesepakatan antara dua penilai atau hakim yang mengklasifikasikan setiap item ke dalam kategori yang saling eksklusif.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Rumus kappa Cohen dihitung sebagai berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>k = ( <sub>po<\/sub> \u2013 <sub>pe<\/sub> ) \/ (1 \u2013 <sub>pe<\/sub> )<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>p <sub>o<\/sub> :<\/strong> Kesepakatan relatif yang diamati di antara para evaluator<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong><sub>pe<\/sub> :<\/strong> Probabilitas hipotetis dari kesepakatan kebetulan<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Daripada hanya menghitung persentase item yang disetujui oleh penilai, Kappa Cohen mencoba menjelaskan fakta bahwa penilai mungkin menyetujui beberapa item hanya secara kebetulan.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Nilai Kappa Cohen selalu antara 0 dan 1 dimana:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> menunjukkan tidak ada kesepakatan antara kedua pengulas<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> menunjukkan kesepakatan sempurna antara kedua evaluator<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Tabel berikut merangkum cara menafsirkan nilai-nilai Kappa Cohen yang berbeda:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14573 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/kappa1.png\" alt=\"Kappa Cohen\" width=\"296\" height=\"226\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Cara termudah untuk menghitung Kappa Cohen di R adalah dengan menggunakan fungsi <strong>cohen.kappa()<\/strong> dari paket <strong>psych<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan fungsi ini dalam praktiknya.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh: Hitung Kappa Cohen di R<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Misalkan dua kurator di sebuah museum seni diminta mengevaluasi 15 lukisan untuk melihat apakah lukisan tersebut cukup bagus untuk dipajang di pameran baru.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menggunakan fungsi <strong>cohen.kappa()<\/strong> dari paket <b>psych<\/b> untuk menghitung Kappa Cohen untuk dua penilai:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> <span style=\"color: #000000;\">(psych)<\/span>\n\n<span style=\"color: #008080;\">#define vector of ratings for both raters\n<\/span><span style=\"color: #000000;\">miss1 = [0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0]\nmiss2 = [0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0]\n\n<\/span><span style=\"color: #008080;\">#calculate Cohen's Kappa\n<\/span><span style=\"color: #000000;\">Cohen. <span style=\"color: #3366ff;\">kappa<\/span> (x=cbind(miss1,miss2))\n\nCohen Kappa and Weighted Kappa correlation coefficients and confidence boundaries \n                 lower estimate upper\nunweighted kappa -0.14 0.34 0.81\nweighted kappa -0.14 0.34 0.81\n\n Number of subjects = 15 \n<\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Kolom <strong>perkiraan<\/strong> menampilkan nilai Kappa Cohen.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Dari hasil tersebut terlihat bahwa Kappa Cohen ternyata adalah <strong>0,34<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Berdasarkan tabel sebelumnya, kita dapat mengatakan bahwa kedua penilai hanya memiliki tingkat kesepakatan yang \u201ccukup\u201d.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Jika Anda ingin menghitung tingkat kesepakatan antara tiga penilai atau lebih, disarankan untuk menggunakan Kappa Fleiss.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Tutorial berikut menyediakan sumber tambahan tentang Cohen&#8217;s Kappa:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/statistik-cohens-kappa\/\" target=\"_blank\" rel=\"noopener\">Pengantar Kappa Cohen<\/a><br \/> Kalkulator Kappa Cohen Online<br \/> <a href=\"https:\/\/statorials.org\/id\/cohens-kappa-unggul\/\" target=\"_blank\" rel=\"noopener\">Cara Menghitung Kappa Cohen di Excel<\/a><br \/> Cara Menghitung Kappa Cohen dengan Python<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dalam statistik, Kappa Cohen digunakan untuk mengukur tingkat kesepakatan antara dua penilai atau hakim yang mengklasifikasikan setiap item ke dalam kategori yang saling eksklusif. Rumus kappa Cohen dihitung sebagai berikut: k = ( po \u2013 pe ) \/ (1 \u2013 pe ) Emas: p o : Kesepakatan relatif yang diamati di antara para evaluator pe [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cara menghitung Kappa Cohen di R - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghitung Kappa Cohen di R, dengan contoh lengkap.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/id\/cohens-kappa-di-sungai\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung Kappa Cohen di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghitung Kappa Cohen di R, dengan contoh lengkap.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/cohens-kappa-di-sungai\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-16T16:22:04+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/kappa1.png\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/cohens-kappa-di-sungai\/\",\"url\":\"https:\/\/statorials.org\/id\/cohens-kappa-di-sungai\/\",\"name\":\"Cara menghitung Kappa Cohen di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-16T16:22:04+00:00\",\"dateModified\":\"2023-07-16T16:22:04+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghitung Kappa Cohen di R, dengan contoh lengkap.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/cohens-kappa-di-sungai\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/cohens-kappa-di-sungai\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/cohens-kappa-di-sungai\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung kappa cohen di r\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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