{"id":4483,"date":"2026-07-29T16:58:22","date_gmt":"2026-07-29T14:58:22","guid":{"rendered":"https:\/\/ellistat.com\/?post_type=guide-dutilisateur&#038;p=4483"},"modified":"2026-07-30T10:32:17","modified_gmt":"2026-07-30T08:32:17","slug":"multiple-correspondence-analysis-mca","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/en\/guide-dutilisateur\/analyse-des-correspondances-multiples-acm\/","title":{"rendered":"Multiple Correspondence Analysis (MCA)"},"content":{"rendered":"<p class=\"wp-block-paragraph\">ACM is the equivalent of ACP for variables&nbsp;<strong>exclusively qualitative<\/strong>. She doesn't place arrows, but rather&nbsp;<strong>terms and conditions<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The tabs:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2&nbsp;<strong>Summary<\/strong>&nbsp;: the table of terms and individuals, including the breakdown of equity values and the table of percentages; ;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2&nbsp;<strong>Correlation of Variables<\/strong>&nbsp;: the correlation coefficient of each variable with the first two axes\u2014the proportion of the axis explained by that variable, on a scale from 0 to 1. It indicates which variable structures which axis; ;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2&nbsp;<strong>Equity<\/strong>&nbsp;and&nbsp;<strong>Eigenvectors<\/strong>&nbsp;: details of the routes; ;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2&nbsp;<strong>Terms and Conditions<\/strong>&nbsp;: coordinates, contributions, and Cos\u00b2 for each mode; ;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2&nbsp;<strong>Individuals<\/strong>&nbsp;: the same indicators for each individual; ;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2&nbsp;<strong>Additional Variables<\/strong>&nbsp;: the proposed illustrative guidelines.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">ACM-Specific Reading Guidelines:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2&nbsp;<strong>Two similar approaches<\/strong>&nbsp;are frequently worn by the same people; ;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2&nbsp;<strong>A location far from the city center<\/strong>&nbsp;is either rare or very distinctive; ;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2&nbsp;<strong>An individual is at the center of their modalities<\/strong>, and, conversely, a modality centered on its individuals.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udca1 The size of the symbols is proportional to the sample size: a large symbol far from the center indicates a robust result, while a small symbol far from the center suggests caution.<\/p>","protected":false},"featured_media":0,"menu_order":60,"template":"","meta":{"_acf_changed":true},"menu-guide-dutilisateur":[40],"class_list":["post-4483","guide-dutilisateur","type-guide-dutilisateur","status-publish","hentry","menu-guide-dutilisateur-6-statistiques-multivariees"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Analyse des correspondances multiples (ACM) - Ellistat<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ellistat.com\/en\/users-guide\/multiple-correspondence-analysis-mca\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Analyse des correspondances multiples (ACM) - Ellistat\" \/>\n<meta property=\"og:description\" content=\"L&rsquo;ACM est l&rsquo;\u00e9quivalent de l&rsquo;ACP pour des variables&nbsp;exclusivement qualitatives. Elle ne place pas des fl\u00e8ches mais des&nbsp;modalit\u00e9s. Les onglets : \u21d2&nbsp;Synth\u00e8se&nbsp;: le plan des modalit\u00e9s et des individus, avec l&rsquo;\u00e9boulis des valeurs propres et le tableau des pourcentages ; \u21d2&nbsp;Corr\u00e9lation des variables&nbsp;: le rapport de corr\u00e9lation de chaque variable avec les deux premiers axes \u2014 [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ellistat.com\/en\/users-guide\/multiple-correspondence-analysis-mca\/\" \/>\n<meta property=\"og:site_name\" content=\"Ellistat\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-30T08:32:17+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/ellistat.com\\\/guide-dutilisateur\\\/analyse-des-correspondances-multiples-acm\\\/\",\"url\":\"https:\\\/\\\/ellistat.com\\\/guide-dutilisateur\\\/analyse-des-correspondances-multiples-acm\\\/\",\"name\":\"Analyse des correspondances multiples (ACM) - Ellistat\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/ellistat.com\\\/#website\"},\"datePublished\":\"2026-07-29T14:58:22+00:00\",\"dateModified\":\"2026-07-30T08:32:17+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/ellistat.com\\\/guide-dutilisateur\\\/analyse-des-correspondances-multiples-acm\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/ellistat.com\\\/guide-dutilisateur\\\/analyse-des-correspondances-multiples-acm\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/ellistat.com\\\/guide-dutilisateur\\\/analyse-des-correspondances-multiples-acm\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\\\/\\\/ellistat.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Analyse des correspondances multiples (ACM)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/ellistat.com\\\/#website\",\"url\":\"https:\\\/\\\/ellistat.com\\\/\",\"name\":\"Ellistat\",\"description\":\"La suite qualit\u00e9 de l&#039;industrie m\u00e9canique\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/ellistat.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Multiple Correspondence Analysis (MCA) - Ellistat","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:\/\/ellistat.com\/en\/users-guide\/multiple-correspondence-analysis-mca\/","og_locale":"en_US","og_type":"article","og_title":"Analyse des correspondances multiples (ACM) - Ellistat","og_description":"L&rsquo;ACM est l&rsquo;\u00e9quivalent de l&rsquo;ACP pour des variables&nbsp;exclusivement qualitatives. 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