{"id":436,"date":"2023-07-29T22:51:45","date_gmt":"2023-07-29T22:51:45","guid":{"rendered":"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/"},"modified":"2023-07-29T22:51:45","modified_gmt":"2023-07-29T22:51:45","slug":"bartletts-test-rekenmachine","status":"publish","type":"post","link":"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/","title":{"rendered":"Bartlett&#39;s testcalculator"},"content":{"rendered":"<p><script src=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/mathjs\/5.1.1\/math.js\"><\/script><script src=\"https:\/\/cdn.jsdelivr.net\/npm\/jstat@latest\/dist\/jstat.min.js\"><\/script> <\/p>\n<style>\n@import url('https:\/\/fonts.googleapis.com\/css?family=Droid+Serif|Raleway');<\/p>\n<p>.axis--y .domain {\n  display: none;\n}<\/p>\n<p>h1 {\ntext-align: center;\nfont-size: 50px;\nmargin-bottom: 0px;\nfont-family: 'Raleway', serif;\n}<\/p>\n<p>p {\ncolor: black;\ntext-align: center;\nmargin-bottom: 15px;\nmargin-top: 15px;\nfont-family: 'Raleway', sans-serif;\n}<\/p>\n<p>#words {\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 100px;\n}<\/p>\n<p>#words_text {\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\n}<\/p>\n<p>#words_text_area {\ndisplay:inline-block;\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 100px;\n}<\/p>\n<p>#calcTitle {\ntext-align: center;\nfont-size: 20px;\nmargin-bottom: 0px;\nfont-family: 'Raleway', serif;\n}<\/p>\n<p>#hr_top {\nwidth: 30%;\nmargin-bottom: 0px;\nborder: none;\nheight: 2px;\ncolor: black;\nbackground-color: black;\n}<\/p>\n<p>#hr_bottom {\nwidth: 30%;\nmargin-top: 15px;\nborder: none;\nheight: 2px;\ncolor: black;\nbackground-color: black;\n}<\/p>\n<p>#words label, input {\n    display: inline-block;\n    vertical-align: baseline;\n    width: 350px;\n}<\/p>\n<p>    #button {\n      border: 1px solid;\n      border-radius: 10px;\n      margin-top: 20px;\n      padding: 10px 10px;\n      cursor: pointer;\n      outline: none;\n      background-color: white;\n      color: black;\n      font-family: 'Work Sans', sans-serif;\n      border: 1px solid grey;\n      \/* Green *\/\n    }<\/p>\n<p>    #button:hover {\n      background-color: #f6f6f6;\n      border: 1px solid black;\n    }<\/p>\n<p>\t.label_radio {\n\ttext-align: center;\n    }<\/p>\n<p>td, tr, th {\n    border: 1px solid black;\n}\ntable {\n    border-collapse: collapse;\n}\ntd, th {\n    min-width: 50px;\n    height: 21px;\n}\n.table_span_x, .table_span_y {\n    width: 100%;\n    display: block;\n}<\/p>\n<p>#words_table {\ncolor: black;\nfont-family: Raleway;\nmax-width: 350px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 20px;\n}<\/p>\n<p>#summary_table {\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 20px;\n}<\/p>\n<p>    .label_radio {\n\ttext-align: center;\n}<\/p>\n<p>#text_area_input {\n\tpadding-left: 5%;\n\tfloat: left;\n}<\/p>\n<p>textarea, textarea:focus {\n\tmargin-right: 5px;\n\twidth: 85px;\n\toutline: 1px solid #aeaeae;\n}\n<\/style>\n<div id=\"words_text\">\n<p style=\"text-align: left\"><b>De Bartlett-test<\/b> wordt gebruikt om te testen of steekproeven afkomstig zijn uit populaties met gelijke varianties. Sommige statistische tests, zoals <a href=\"https:\/\/statorials.org\/nl\/enkele-reis-anova\/\" target=\"_blank\" rel=\"noopener\">eenrichtings-ANOVA<\/a> , gaan ervan uit dat de varianties tussen steekproeven gelijk zijn. De Bartlett-test kan worden gebruikt om deze hypothese te verifi\u00ebren.<\/p>\n<p style=\"text-align: left\"> Om een Bartlett-test uit te voeren op maximaal vijf monsters, voert u eenvoudig de onderstaande gegevenswaarden in en klikt u op de knop \u2018Berekenen\u2019. Hieronder worden een teststatistiek en de bijbehorende p-waarde weergegeven. Een p-waarde kleiner dan 0,05 is een sterk bewijs dat de varianties tussen steekproeven niet gelijk zijn.<\/p>\n<\/div>\n<div id=\"words_text\">\n<div id=\"text_area_input\"> Voorbeeld 1 || Voorbeeld 2 || Voorbeeld 3 || Voorbeeld 4 || Voorbeeld 5 <\/div>\n<div id=\"text_area_input\"><textarea id=\"a\" name=\"a\" rows=\"15\" cols=\"4\"><\/textarea><textarea id=\"b\" name=\"b\" rows=\"15\" cols=\"4\"><\/textarea><textarea id=\"c\" name=\"c\" rows=\"15\" cols=\"4\"><\/textarea><textarea id=\"d\" name=\"d\" rows=\"15\" cols=\"4\"><\/textarea><textarea id=\"e\" name=\"e\" rows=\"15\" cols=\"4\"><\/textarea><\/div>\n<\/div>\n<div id=\"words\"><input type=\"button\" id=\"button\" onclick=\"calc()\" value=\"Calculate\"><\/div>\n<div>\n<p><span id=\"B\"><\/span><\/p>\n<\/div>\n<div>\n<p><span id=\"p\"><\/span><\/p>\n<\/div>\n<p><script><\/p>\n<p>\/\/create function that performs t test calculations\nfunction calc() {<\/p>\n<p>\/\/define addition function\n\t\tfunction add(a, b) {\n\t\t    return a + b;\n\t\t}<\/p>\n<p>\/\/get raw data\n    \/\/group a\n    \/\/    var values_a_input = document.getElementsByClassName('a');\n\t\/\/var values_a_array = [];\n\t\/\/for (var i = 0; i < values_a_input.length; i++) {\n    \/\/  \tvalues_a_array[i] = values_a_input[i].innerText;\n    \/\/    }\n\t\/\/values_a_array = values_a_array.filter(n => n);\n\t\/\/var group_a = values_a_array.map(Number);\n\tif(document.getElementById(\"a\").value == '') {\n\t    var group_a = '';\n\t} else {\n\t    var group_a = document.getElementById('a').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tif(document.getElementById(\"b\").value == '') {\n\t    var group_b = '';\n\t} else {\n\t    var group_b = document.getElementById('b').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tif(document.getElementById(\"c\").value == '') {\n\t    var group_c = '';\n\t} else {\n\t    var group_c = document.getElementById('c').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tif(document.getElementById(\"d\").value == '') {\n\t    var group_d = '';\n\t} else {\n\t    var group_d = document.getElementById('d').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tif(document.getElementById(\"e\").value == '') {\n\t    var group_e = '';\n\t} else {\n\t    var group_e = document.getElementById('e').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tvar all_groups = (group_a.concat(group_b, group_c, group_d, group_e)).filter(n => n);<\/p>\n<p>\t\/\/get summary stats of each group\n\tif (group_a.length > 0) { var mean_group_a = math.mean(group_a); };\n\tif (group_b.length > 0) { var mean_group_b = math.mean(group_b); };\n\tif (group_c.length > 0) { var mean_group_c = math.mean(group_c); };\n\tif (group_d.length > 0) { var mean_group_d = math.mean(group_d); };\n\tif (group_e.length > 0) { var mean_group_e = math.mean(group_e); };<\/p>\n<p>\tif (group_a.length > 0) { var var_group_a = math.var(group_a); };\n\tif (group_b.length > 0) { var var_group_b = math.var(group_b); };\n\tif (group_c.length > 0) { var var_group_c = math.var(group_c); };\n\tif (group_d.length > 0) { var var_group_d = math.var(group_d); };\n\tif (group_e.length > 0) { var var_group_e = math.var(group_e); };<\/p>\n<p>\tif (group_a.length > 0) { var lnvar_group_a = Math.log(var_group_a); } else { var lnvar_group_a = 0;};\n\tif (group_b.length > 0) { var lnvar_group_b = Math.log(var_group_b); } else { var lnvar_group_b = 0;};\n\tif (group_c.length > 0) { var lnvar_group_c = Math.log(var_group_c); } else { var lnvar_group_c = 0;};\n\tif (group_d.length > 0) { var lnvar_group_d = Math.log(var_group_d); } else { var lnvar_group_d = 0;};\n\tif (group_e.length > 0) { var lnvar_group_e = Math.log(var_group_e); } else { var lnvar_group_e = 0;};<\/p>\n<p>\tif (group_a.length > 0) { var df_group_a = group_a.length-1; } else { var df_group_a = 0;};\n\tif (group_b.length > 0) { var df_group_b = group_b.length-1; } else { var df_group_b = 0;};\n\tif (group_c.length > 0) { var df_group_c = group_c.length-1; } else { var df_group_c = 0;};\n\tif (group_d.length > 0) { var df_group_d = group_d.length-1; } else { var df_group_d = 0;};\n\tif (group_e.length > 0) { var df_group_e = group_e.length-1; } else { var df_group_e = 0;};<\/p>\n<p>\tvar total_df = [df_group_a, df_group_b, df_group_c, df_group_d, df_group_e].reduce(add, 0);\n\tvar total_df1 = 1 \/ total_df;<\/p>\n<p>\tvar lnvar_array = [lnvar_group_a, lnvar_group_b, lnvar_group_c, lnvar_group_d, lnvar_group_e];\n\tvar df_array = [df_group_a, df_group_b, df_group_c, df_group_d, df_group_e];\n\tvar lnvar_df_array = []\n\tfor (var i = 0; i < lnvar_array.length; i++) {\n\t    lnvar_df_array.push(lnvar_array[i] * df_array[i]);\n\t}\n\t\n\tvar sum_lnvar_df_array = lnvar_df_array.reduce(add, 0);\n\t\n\tif (group_a.length > 0) { var flag_group_a = 1; } else { var flag_group_a = 0;};\n\tif (group_b.length > 0) { var flag_group_b = 1; } else { var flag_group_b = 0;};\n\tif (group_c.length > 0) { var flag_group_c = 1; } else { var flag_group_c = 0;};\n\tif (group_d.length > 0) { var flag_group_d = 1; } else { var flag_group_d = 0;};\n\tif (group_e.length > 0) { var flag_group_e = 1; } else { var flag_group_e = 0;};<\/p>\n<p>\tif (group_a.length > 0) { var df1_group_a = 1\/df_group_a; } else { var df1_group_a = 0;};\n\tif (group_b.length > 0) { var df1_group_b = 1\/df_group_b; } else { var df1_group_b = 0;};\n\tif (group_c.length > 0) { var df1_group_c = 1\/df_group_c; } else { var df1_group_c = 0;};\n\tif (group_d.length > 0) { var df1_group_d = 1\/df_group_d; } else { var df1_group_d = 0;};\n\tif (group_e.length > 0) { var df1_group_e = 1\/df_group_e; } else { var df1_group_e = 0;};<\/p>\n<p>\tvar df1_array = [df1_group_a, df1_group_b, df1_group_c, df1_group_d, df1_group_e];\n\tvar df1_array_sum = df1_array.reduce(add, 0);<\/p>\n<p>\tvar treatments = [flag_group_a, flag_group_b, flag_group_c, flag_group_d, flag_group_e].reduce(add, 0) - 1;<\/p>\n<p>\tif (treatments == 1) {\n    \tvar total_var = jStat.pooledvariance([group_a, group_b]);\n    \tvar total_lnvar = Math.log(total_var);\n\t} else if (treatments == 2) {\n\t   var total_var = jStat.pooledvariance([group_a, group_b, group_c]);\n\t   var total_lnvar = Math.log(total_var);\n\t} else if (treatments == 3) {\n\t   var total_var = jStat.pooledvariance([group_a, group_b, group_c, group_d]);\n\t   var total_lnvar = Math.log(total_var);\n\t} else if (treatments == 4) {\n\t   var total_var = jStat.pooledvariance([group_a, group_b, group_c, group_d, group_e]);\n\t   var total_lnvar = Math.log(total_var);\n\t}\n\/\/calculate test statistic\n    var b_numerator = total_df * total_lnvar - sum_lnvar_df_array;\n    var b_denominator = 1 - (-1 \/ (3*treatments)) * (df1_array_sum - total_df1);\n    var b = b_numerator \/ b_denominator;\n    var p = 1 - jStat.chisquare.cdf(b, treatments);\nconsole.log(df1_array, lnvar_array, total_df, total_var, total_lnvar, total_df1);\n\/\/output results\ndocument.getElementById('B').innerHTML = \"Test Statistic B: \" + b.toFixed(5);\ndocument.getElementById('p').innerHTML = \"p-value: \" + p.toFixed(5);\n}<\/p>\n<p><\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>De Bartlett-test wordt gebruikt om te testen of steekproeven afkomstig zijn uit populaties met gelijke varianties. Sommige statistische tests, zoals eenrichtings-ANOVA , gaan ervan uit dat de varianties tussen steekproeven gelijk zijn. De Bartlett-test kan worden gebruikt om deze hypothese te verifi\u00ebren. Om een Bartlett-test uit te voeren op maximaal vijf monsters, voert u eenvoudig [&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":[],"class_list":["post-436","post","type-post","status-publish","format-standard","hentry","category-gids"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Bartlett-testcalculator - Statorialen<\/title>\n<meta name=\"description\" content=\"Deze rekenmachine voert een Bartlett-test uit, die wordt gebruikt om te controleren of steekproeven afkomstig zijn uit populaties met gelijke varianties.\" \/>\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\/nl\/bartletts-test-rekenmachine\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Bartlett-testcalculator - Statorialen\" \/>\n<meta property=\"og:description\" content=\"Deze rekenmachine voert een Bartlett-test uit, die wordt gebruikt om te controleren of steekproeven afkomstig zijn uit populaties met gelijke varianties.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T22:51:45+00:00\" \/>\n<meta name=\"author\" content=\"Dr.benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr.benjamin anderson\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/\",\"url\":\"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/\",\"name\":\"Bartlett-testcalculator - Statorialen\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/nl\/#website\"},\"datePublished\":\"2023-07-29T22:51:45+00:00\",\"dateModified\":\"2023-07-29T22:51:45+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\"},\"description\":\"Deze rekenmachine voert een Bartlett-test uit, die wordt gebruikt om te controleren of steekproeven afkomstig zijn uit populaties met gelijke varianties.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/#breadcrumb\"},\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Thuis\",\"item\":\"https:\/\/statorials.org\/nl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Bartlett&#39;s testcalculator\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/nl\/#website\",\"url\":\"https:\/\/statorials.org\/nl\/\",\"name\":\"Statorials\",\"description\":\"Uw gids voor statistische competentie\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/nl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"de\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\",\"name\":\"Dr.benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr.benjamin anderson\"},\"description\":\"Ik ben Benjamin, een gepensioneerde hoogleraar statistiek die nu een toegewijde Statorials-lesgever is. Ik heb uitgebreide ervaring en expertise op het gebied van statistiek en ik ben vastbesloten om mijn kennis te delen met studenten via Statorials. Lees verder\",\"sameAs\":[\"http:\/\/statorials.org\/nl\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Bartlett-testcalculator - Statorialen","description":"Deze rekenmachine voert een Bartlett-test uit, die wordt gebruikt om te controleren of steekproeven afkomstig zijn uit populaties met gelijke varianties.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/","og_locale":"de_DE","og_type":"article","og_title":"Bartlett-testcalculator - Statorialen","og_description":"Deze rekenmachine voert een Bartlett-test uit, die wordt gebruikt om te controleren of steekproeven afkomstig zijn uit populaties met gelijke varianties.","og_url":"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/","og_site_name":"Statorials","article_published_time":"2023-07-29T22:51:45+00:00","author":"Dr.benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Verfasst von":"Dr.benjamin anderson"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/","url":"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/","name":"Bartlett-testcalculator - Statorialen","isPartOf":{"@id":"https:\/\/statorials.org\/nl\/#website"},"datePublished":"2023-07-29T22:51:45+00:00","dateModified":"2023-07-29T22:51:45+00:00","author":{"@id":"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219"},"description":"Deze rekenmachine voert een Bartlett-test uit, die wordt gebruikt om te controleren of steekproeven afkomstig zijn uit populaties met gelijke varianties.","breadcrumb":{"@id":"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/#breadcrumb"},"inLanguage":"de","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/nl\/bartletts-test-rekenmachine\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Thuis","item":"https:\/\/statorials.org\/nl\/"},{"@type":"ListItem","position":2,"name":"Bartlett&#39;s testcalculator"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/nl\/#website","url":"https:\/\/statorials.org\/nl\/","name":"Statorials","description":"Uw gids voor statistische competentie","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/nl\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"de"},{"@type":"Person","@id":"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219","name":"Dr.benjamin anderson","image":{"@type":"ImageObject","inLanguage":"de","@id":"https:\/\/statorials.org\/nl\/#\/schema\/person\/image\/","url":"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"Dr.benjamin anderson"},"description":"Ik ben Benjamin, een gepensioneerde hoogleraar statistiek die nu een toegewijde Statorials-lesgever is. Ik heb uitgebreide ervaring en expertise op het gebied van statistiek en ik ben vastbesloten om mijn kennis te delen met studenten via Statorials. Lees verder","sameAs":["http:\/\/statorials.org\/nl"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/nl\/wp-json\/wp\/v2\/posts\/436","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statorials.org\/nl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/nl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/nl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/nl\/wp-json\/wp\/v2\/comments?post=436"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/nl\/wp-json\/wp\/v2\/posts\/436\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/nl\/wp-json\/wp\/v2\/media?parent=436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/nl\/wp-json\/wp\/v2\/categories?post=436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/nl\/wp-json\/wp\/v2\/tags?post=436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}