{"id":58867,"date":"2026-01-12T15:04:31","date_gmt":"2026-01-12T14:04:31","guid":{"rendered":"https:\/\/www.carolinacampalans.com\/glossary\/fuzzy-set-qualitative-comparative-analysis\/"},"modified":"2026-01-12T15:04:31","modified_gmt":"2026-01-12T14:04:31","slug":"fuzzy-set-qualitative-comparative-analysis","status":"publish","type":"glosario","link":"https:\/\/www.carolinacampalans.com\/?glosario=fuzzy-set-qualitative-comparative-analysis","title":{"rendered":"fuzzy-set qualitative comparative analysis"},"content":{"rendered":"<div class=\"ttr_start\"><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><p>Una t\u00e9cnica usada en m\u00e9todos mixtos de investigaci\u00f3n que combina el rigor cuantitativo y la profundidad cualitativa.<\/p>\n<\/div><div class=\"fusion-text fusion-text-2\">\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-two\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:36;line-height:1.5;\">Descripci\u00f3n<\/h2><\/div><div class=\"fusion-text fusion-text-3\"><p data-path-to-node=\"1\">Desarrollada originalmente por Charles Ragin, esta t\u00e9cnica se utiliza para entender c\u00f3mo diferentes combinaciones de factores (condiciones) llevan a un resultado espec\u00edfico, reconociendo que no hay un \u00fanico camino hacia el \u00e9xito o el fracaso.<\/p>\n<\/div><div class=\"fusion-text fusion-text-4\"><p data-path-to-node=\"4\">A diferencia de las estad\u00edsticas tradicionales (como las regresiones), que buscan el <em>efecto neto<\/em> promedio de una variable sobre otra, el fsQCA se basa en la teor\u00eda de conjuntos.<\/p>\n<h4 data-path-to-node=\"5,0,0\"><span class=\"ez-toc-section\" id=\"Causalidad_conjuntural\"><\/span>Causalidad conjuntural<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"5,0,0\">El efecto de una variable depende de la presencia o ausencia de otras. No es \u00abA causa B\u00bb, sino \u00abA en combinaci\u00f3n con B, pero sin C, causa B\u00bb.<\/p>\n<h4 data-path-to-node=\"5,1,0\"><span class=\"ez-toc-section\" id=\"Equifinalidad\"><\/span>Equifinalidad<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"5,1,0\">Reconoce que existen m\u00faltiples caminos (combinaciones de condiciones) para llegar al mismo resultado.<\/p>\n<h4 data-path-to-node=\"5,2,0\"><span class=\"ez-toc-section\" id=\"Asimetria_causal\"><\/span>Asimetr\u00eda causal<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"5,2,0\">Las causas que llevan a que algo suceda pueden ser totalmente distintas a las causas que explican por qu\u00e9 no sucede.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-three\"><h3 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:24;--minFontSize:24;line-height:1.5;\">El concepto de conjunto difuso (<em>fuzzy set<\/em>)<\/h3><\/div><div class=\"fusion-text fusion-text-5\"><p data-path-to-node=\"8\">En el QCA original <em>(crisp set),<\/em> las variables son dicot\u00f3micas: o est\u00e1s dentro del conjunto (1) o est\u00e1s fuera (0). Por ejemplo: \u00abpa\u00eds democr\u00e1tico\u00bb o \u00abpa\u00eds no democr\u00e1tico\u00bb.<\/p>\n<p data-path-to-node=\"9\">El fsQCA introduce matices. Permite que los casos tengan grados de pertenencia a un conjunto, movi\u00e9ndose en un rango de 0 a 1:<\/p>\n<ul data-path-to-node=\"10\">\n<li>\n<p data-path-to-node=\"10,0,0\"><b data-path-to-node=\"10,0,0\" data-index-in-node=\"0\">1.0:<\/b> Totalmente dentro del conjunto.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"10,1,0\"><b data-path-to-node=\"10,1,0\" data-index-in-node=\"0\">0.5:<\/b> Punto de m\u00e1xima ambig\u00fcedad (ni dentro ni fuera).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"10,2,0\"><b data-path-to-node=\"10,2,0\" data-index-in-node=\"0\">0.0:<\/b> Totalmente fuera del conjunto.<\/p>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-3 fusion-sep-none fusion-title-text fusion-title-size-three\"><h3 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:24;--minFontSize:24;line-height:1.5;\">Pasos del an\u00e1lisis<\/h3><\/div><div class=\"fusion-text fusion-text-6\"><p>Para realizar un fsQCA, la investigaci\u00f3n suele seguir este proceso:<\/p>\n<h4><span class=\"ez-toc-section\" id=\"1_Calibracion\"><\/span>1. Calibraci\u00f3n<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Transformar los datos brutos (ej., ingresos, a\u00f1os de educaci\u00f3n) en puntuaciones de conjuntos difusos (0 a 1), basados en conocimiento te\u00f3rico.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"2_Construccion_de_la_tabla_de_verdad\"><\/span>2. Construcci\u00f3n de la tabla de verdad<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Se crea una tabla que enumera todas las combinaciones posibles de condiciones. Si tenemos 3 condiciones, tendremos <span class=\"math-inline\" data-math=\"2^3 = 8\" data-index-in-node=\"148\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord\">2\u00b3<\/span><span class=\"mrel\">=<\/span><\/span><span class=\"base\"><span class=\"mord\">8<\/span><\/span><\/span><\/span><\/span>\u00a0combinaciones posibles.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"3_Analisis_de_necesidad_y_suficiencia\"><\/span>3. An\u00e1lisis de necesidad y suficiencia<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<ul>\n<li><strong>Condici\u00f3n necesaria<\/strong>: Debe estar presente para que ocurra el resultado (pero por s\u00ed sola no lo garantiza).<\/li>\n<li><strong>Condici\u00f3n suficiente<\/strong>: Si est\u00e1 presente, el resultado ocurrir\u00e1 (aunque otros caminos tambi\u00e9n puedan lograrlo).<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"4_Minimizacion_booleana\"><\/span>4. Minimizaci\u00f3n booleana<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Se utiliza un algoritmo para simplificar las combinaciones complejas en soluciones m\u00e1s breves y entendibles.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-4 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-4 fusion-sep-none fusion-title-text fusion-title-size-three\"><h3 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:24;--minFontSize:24;line-height:1.5;\">Casos de uso<\/h3><\/div><div class=\"fusion-text fusion-text-7\"><p data-path-to-node=\"17\">El fsQCA es especialmente \u00fatil en las ciencias sociales, la gesti\u00f3n de empresas y las pol\u00edticas p\u00fablicas, sobre todo cuando:<\/p>\n<ul data-path-to-node=\"18\">\n<li>\n<p data-path-to-node=\"18,0,0\">Tenemos una muestra peque\u00f1a o mediana (dise\u00f1o de n-peque\u00f1a: entre 10 y 50 casos), donde las estad\u00edsticas tradicionales no son fiables.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"18,1,0\">Sospechamos que los fen\u00f3menos que estamos estudiando son complejos y dependen de contextos espec\u00edficos.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"18,2,0\">Queremos identificar diferentes perfiles o tipolog\u00edas de casos que logren un mismo objetivo.<\/p>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-3 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:20px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-5 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-5 fusion-sep-none fusion-title-text fusion-title-size-two\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:36;line-height:1.5;\">Ejemplos<\/h2><\/div><div class=\"accordian fusion-accordian\" style=\"--awb-border-size:1px;--awb-icon-size:15px;--awb-content-font-size:20px;--awb-icon-alignment:left;--awb-hover-color:#f9f9f9;--awb-border-color:#cccccc;--awb-background-color:#ffffff;--awb-divider-color:#000000;--awb-divider-hover-color:#000000;--awb-icon-color:#ffffff;--awb-title-color:#af7baf;--awb-content-color:#747474;--awb-icon-box-color:#333333;--awb-toggle-hover-accent-color:#9b00af;--awb-title-font-family:&quot;Roboto Condensed&quot;;--awb-title-font-weight:regular;--awb-title-font-style:normal;--awb-title-font-size:20px;--awb-content-font-family:&quot;Open Sans&quot;;--awb-content-font-style:normal;--awb-content-font-weight:400;\"><div class=\"panel-group fusion-toggle-icon-boxed\" id=\"accordion-58867-1\"><div class=\"fusion-panel panel-default panel-4d6c52e8829430c9e fusion-toggle-has-divider\" style=\"--awb-title-color:#af7baf;\"><div class=\"panel-heading\"><h3 class=\"panel-title toggle\" id=\"toggle_4d6c52e8829430c9e\"><a aria-expanded=\"false\" aria-controls=\"4d6c52e8829430c9e\" role=\"button\" data-toggle=\"collapse\" data-parent=\"#accordion-58867-1\" data-target=\"#4d6c52e8829430c9e\" href=\"#4d6c52e8829430c9e\"><span class=\"fusion-toggle-icon-wrapper\" aria-hidden=\"true\"><i class=\"fa-fusion-box active-icon awb-icon-minus\" aria-hidden=\"true\"><\/i><i class=\"fa-fusion-box inactive-icon awb-icon-plus\" aria-hidden=\"true\"><\/i><\/span><span class=\"fusion-toggle-heading\">Desarrollo de pol\u00edticas p\u00fablicas<\/span><\/a><\/h3><\/div><div id=\"4d6c52e8829430c9e\" class=\"panel-collapse collapse \" aria-labelledby=\"toggle_4d6c52e8829430c9e\"><div class=\"panel-body toggle-content fusion-clearfix\">\n<p data-path-to-node=\"0\">Imaginemos que queremos investigar qu\u00e9 hace que una <b data-path-to-node=\"0\" data-index-in-node=\"48\">pol\u00edtica de reducci\u00f3n de la pobreza<\/b> sea exitosa en diferentes municipios de un pa\u00eds. En lugar de buscar una sola causa, el fsQCA permite estudiar c\u00f3mo interact\u00faan distintos factores.<\/p>\n<p data-path-to-node=\"1\">Supongamos que analizamos tres condiciones fundamentales para el \u00e9xito:<\/p>\n<ol start=\"1\" data-path-to-node=\"2\">\n<li>\n<p data-path-to-node=\"2,0,0\">Presupuesto elevado (P)<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"2,1,0\">Burocracia eficiente (B)<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"2,2,0\">Participaci\u00f3n ciudadana activa (C)<\/p>\n<\/li>\n<\/ol>\n<h4 data-path-to-node=\"4\"><span class=\"ez-toc-section\" id=\"1_Calibracion_de_datos_a_conjuntos\"><\/span>1. Calibraci\u00f3n: de datos a conjuntos<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"5\">En lugar de establecer simplemente si un municipio tiene dinero o no, asignamos grados de pertenencia:<\/p>\n<ul data-path-to-node=\"6\">\n<li>\n<p data-path-to-node=\"6,0,0\">Municipio A: Tiene un presupuesto alt\u00edsimo (P = 0.95), una burocracia lenta (B = 0.30) y mucha participaci\u00f3n (C = 0.80).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"6,1,0\">Municipio B: Tiene poco dinero (P = 0.10), pero su gesti\u00f3n es impecable (B = 0.90) y la gente participa mucho (C = 0.95).<\/p>\n<\/li>\n<\/ul>\n<h4 data-path-to-node=\"8\"><span class=\"ez-toc-section\" id=\"2_Analisis_de_la_tabla_de_verdad\"><\/span>2. An\u00e1lisis de la tabla de verdad<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"9\">El software de fsQCA analiza todos los municipios y busca patrones. Podr\u00eda encontrar que el \u00ab\u00e9xito de la pol\u00edtica\u00bb ocurre en dos escenarios distintos (equifinalidad):<\/p>\n<p data-path-to-node=\"10\"><strong>Camino A: El modelo de recursos<\/strong><\/p>\n<ul>\n<li data-path-to-node=\"10\">Presupuesto elevado (P) * Burocracia eficiente (B)<\/li>\n<\/ul>\n<p data-path-to-node=\"11,1\">Aqu\u00ed, la participaci\u00f3n ciudadana no es determinante. Si hay mucho dinero y la administraci\u00f3n funciona bien, la pol\u00edtica tiene \u00e9xito.<\/p>\n<p data-path-to-node=\"12\"><strong>Camino B: El modelo comunitario<\/strong><\/p>\n<ul>\n<li data-path-to-node=\"12\">Burocracia eficiente (B) * Participaci\u00f3n ciudadana (C) * [Ausencia de gran presupuesto] (~P)<\/li>\n<\/ul>\n<p data-path-to-node=\"13,1\">Este es un hallazgo clave del fsQCA: en municipios pobres, la pol\u00edtica tambi\u00e9n puede tener \u00e9xito si se combina una gesti\u00f3n eficiente con una comunidad muy involucrada.<\/p>\n<h4 data-path-to-node=\"15\"><span class=\"ez-toc-section\" id=\"3_Interpretacion_de_los_resultados\"><\/span>3. Interpretaci\u00f3n de los resultados<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"16\">Al final, el fsQCA nos entregar\u00e1 una f\u00f3rmula l\u00f3gica (utilizando \u00e1lgebra booleana) similar a \u00e9sta:<\/p>\n<div class=\"math-block\" style=\"text-align: center;\" data-math=\"text{\u00c9xito} = (P cdot B) + (B cdot C cdot sim P)\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord text\"><span class=\"mord\">\u00c9xito<\/span><\/span><span class=\"mrel\">=<\/span><\/span><span class=\"base\"><span class=\"mopen\">(<\/span><span class=\"mord mathnormal\">P<\/span><span class=\"mbin\">\u22c5<\/span><\/span><span class=\"base\"><span class=\"mord mathnormal\">B<\/span><span class=\"mclose\">)<\/span><span class=\"mbin\">+<\/span><\/span><span class=\"base\"><span class=\"mopen\">(<\/span><span class=\"mord mathnormal\">B<\/span><span class=\"mbin\">\u22c5<\/span><\/span><span class=\"base\"><span class=\"mord mathnormal\">C<\/span><span class=\"mord\">\u22c5<\/span><span class=\"mrel\">\u223c<\/span><\/span><span class=\"base\"><span class=\"mord mathnormal\">P<\/span><span class=\"mclose\">)<\/span><\/span><\/span><\/span><\/span><\/div>\n<div data-math=\"text{\u00c9xito} = (P cdot B) + (B cdot C cdot sim P)\">\n<p data-path-to-node=\"18\">Donde:<\/p>\n<ul data-path-to-node=\"19\">\n<li>\n<p data-path-to-node=\"19,0,0\">El s\u00edmbolo <b data-path-to-node=\"19,0,0\" data-index-in-node=\"11\"><span class=\"math-inline\" data-math=\"cdot\" data-index-in-node=\"11\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord\">\u22c5<\/span><\/span><\/span><\/span><\/span><\/b> significa \u00abY\u00bb (conjunci\u00f3n).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"19,1,0\">El s\u00edmbolo <b data-path-to-node=\"19,1,0\" data-index-in-node=\"11\"><span class=\"math-inline\" data-math=\"+\" data-index-in-node=\"11\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord\">+<\/span><\/span><\/span><\/span><\/span><\/b> significa \u00abO\u00bb (disyunci\u00f3n\/caminos alternativos).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"19,2,0\">El s\u00edmbolo <b data-path-to-node=\"19,2,0\" data-index-in-node=\"11\"><span class=\"math-inline\" data-math=\"sim\" data-index-in-node=\"11\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mrel\">\u223c<\/span><\/span><\/span><\/span><\/span><\/b> significa \u00abausencia de\u00bb.<\/p>\n<\/li>\n<\/ul>\n<p data-path-to-node=\"20\"><b>\u00bfQu\u00e9 representa esto para la pol\u00edtica p\u00fablica?<\/b><\/p>\n<ul data-path-to-node=\"21\">\n<li>\n<p data-path-to-node=\"21,0,0\"><b data-path-to-node=\"21,0,0\" data-index-in-node=\"0\">No hay una \u00abreceta \u00fanica\u00bb:<\/b> Un gobernante puede compensar la falta de dinero fomentando la participaci\u00f3n social, siempre y cuando mantenga una burocracia eficiente.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"21,1,0\"><b data-path-to-node=\"21,1,0\" data-index-in-node=\"0\">La eficiencia es necesaria:<\/b> Observemos que la \u00abburocracia eficiente\u00bb (B) aparece en ambos caminos. <span class=\"citation-1\">Esto sugiere que es una <\/span><span data-path-to-node=\"21,1,0\" data-index-in-node=\"117\"><span class=\"citation-1\">condici\u00f3n necesaria<\/span><\/span><span class=\"citation-1 citation-end-1\">: sin una gesti\u00f3n m\u00ednimamente funcional, ni el dinero ni la participaci\u00f3n logran el \u00e9xito.<\/span><\/p>\n<\/li>\n<\/ul>\n<h4 data-path-to-node=\"23\"><span class=\"ez-toc-section\" id=\"4_Visualizacion_El_grafico_de_dispersion_en_fsQCA\"><\/span>4. Visualizaci\u00f3n: El gr\u00e1fico de dispersi\u00f3n en fsQCA<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"24\">Para validar estas teor\u00edas, se suele usar un gr\u00e1fico de consistencia. Si una combinaci\u00f3n es suficiente para el \u00e9xito, todos los casos deber\u00edan situarse por encima de la diagonal.<\/p>\n<p data-path-to-node=\"25\">Esto demuestra que el grado de pertenencia al camino causal es menor o igual al grado de pertenencia al resultado.<\/p>\n<\/div>\n<\/div><\/div><\/div><div class=\"fusion-panel panel-default panel-3499846aa68c76312 fusion-toggle-has-divider\" style=\"--awb-title-color:#af7baf;\"><div class=\"panel-heading\"><h3 class=\"panel-title toggle\" id=\"toggle_3499846aa68c76312\"><a aria-expanded=\"false\" aria-controls=\"3499846aa68c76312\" role=\"button\" data-toggle=\"collapse\" data-parent=\"#accordion-58867-1\" data-target=\"#3499846aa68c76312\" href=\"#3499846aa68c76312\"><span class=\"fusion-toggle-icon-wrapper\" aria-hidden=\"true\"><i class=\"fa-fusion-box active-icon awb-icon-minus\" aria-hidden=\"true\"><\/i><i class=\"fa-fusion-box inactive-icon awb-icon-plus\" aria-hidden=\"true\"><\/i><\/span><span class=\"fusion-toggle-heading\">An\u00e1lisis de negocios<\/span><\/a><\/h3><\/div><div id=\"3499846aa68c76312\" class=\"panel-collapse collapse \" aria-labelledby=\"toggle_3499846aa68c76312\"><div class=\"panel-body toggle-content fusion-clearfix\">\n<p data-path-to-node=\"0\">Para <strong>analizar el \u00e9xito de una empresa<\/strong> mediante fsQCA, cambiaremos el enfoque de \u00abvariables individuales\u00bb por el de configuraciones de negocio. El \u00e9xito empresarial rara vez se debe a un solo factor, sino a c\u00f3mo encajan las piezas del modelo de negocio.<\/p>\n<p data-path-to-node=\"1\">Imaginemos que estudiamos el \u00e9xito en ventas online de 20 empresas de retail. Definimos tres condiciones:<\/p>\n<ol start=\"1\" data-path-to-node=\"2\">\n<li>\n<p data-path-to-node=\"2,0,0\">Inversi\u00f3n en marketing digital (M)<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"2,1,0\">Log\u00edstica r\u00e1pida\/entrega en 24h (L)<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"2,2,0\">Precios bajos (B)<\/p>\n<\/li>\n<\/ol>\n<h4 data-path-to-node=\"4\"><span class=\"ez-toc-section\" id=\"1_Calibracion_pertenencia_al_conjunto\"><\/span>1. Calibraci\u00f3n: pertenencia al conjunto<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"5\">Asignamos valores de 0 a 1 seg\u00fan el desempe\u00f1o real frente a est\u00e1ndares del sector:<\/p>\n<ul data-path-to-node=\"6\">\n<li>\n<p data-path-to-node=\"6,0,0\">Empresa X: Invierte mucho en anuncios (M=0.9), entrega en 48h (L=0.6) y tiene precios premium (B=0.1).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"6,1,0\">Empresa Y: No hace marketing (M=0.2), entrega en 24h (L=1.0) y es la m\u00e1s barata (B=0.9).<\/p>\n<\/li>\n<\/ul>\n<h4 data-path-to-node=\"8\"><span class=\"ez-toc-section\" id=\"2_Configuraciones_los_caminos_hacia_el_exito\"><\/span>2. Configuraciones: los caminos hacia el \u00e9xito<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"9\">El an\u00e1lisis fsQCA podr\u00eda revelar que existen dos f\u00f3rmulas exitosas muy distintas (equifinalidad):<\/p>\n<p data-path-to-node=\"10\"><strong>Camino A: El modelo de lujo\/deseo<\/strong><\/p>\n<ul>\n<li data-path-to-node=\"10\">Marketing agresivo (M) * Log\u00edstica r\u00e1pida (L) * [Ausencia de precios bajos] (~B)<\/li>\n<\/ul>\n<p data-path-to-node=\"11,1\">Aqu\u00ed el \u00e9xito se logra mediante la marca. Los clientes pagan mucho (precios altos), pero exigen ver la marca en todas partes y recibir el producto de inmediato.<\/p>\n<p data-path-to-node=\"12\"><strong>Camino B: El modelo de eficiencia de costos<\/strong><\/p>\n<ul>\n<li data-path-to-node=\"12\">Log\u00edstica r\u00e1pida (L) * Precios bajos (B) * [Ausencia de marketing] (~M)<\/li>\n<\/ul>\n<p data-path-to-node=\"13,1\">Este camino muestra que la empresa puede ahorrarse el gasto en publicidad si es la m\u00e1s barata y la m\u00e1s r\u00e1pida. En este caso, el \u00e9xito es puramente operativo.<\/p>\n<h4 data-path-to-node=\"15\"><span class=\"ez-toc-section\" id=\"3_Hallazgos_estrategicos_asimetria_y_necesidad\"><\/span>3. Hallazgos estrat\u00e9gicos (asimetr\u00eda y necesidad)<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"16\">A diferencia de una regresi\u00f3n, el fsQCA nos dar\u00eda estas conclusiones b\u00e1sicas:<\/p>\n<ul data-path-to-node=\"17\">\n<li>\n<p data-path-to-node=\"17,0,0\"><b data-path-to-node=\"17,0,0\" data-index-in-node=\"0\">Condici\u00f3n necesaria:<\/b> Observamos que la l<span data-path-to-node=\"17,0,0\" data-index-in-node=\"39\">og\u00edstica r\u00e1pida (L)<\/span> est\u00e1 presente en ambos caminos. Concluimos que, en el ecommerce actual, la rapidez no es una ventaja competitiva, sino un requisito m\u00ednimo (condici\u00f3n necesaria): sin ella, no hay \u00e9xito, sin importar el precio o el marketing.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"17,1,0\"><b data-path-to-node=\"17,1,0\" data-index-in-node=\"0\">Asimetr\u00eda causal:<\/b> El an\u00e1lisis del f<span data-path-to-node=\"17,1,0\" data-index-in-node=\"34\">racaso<\/span> podr\u00eda mostrar que las empresas quiebran no por falta de marketing, sino espec\u00edficamente por la combinaci\u00f3n de l<span data-path-to-node=\"17,1,0\" data-index-in-node=\"153\">og\u00edstica lenta (~L) y precios altos (~B)<\/span>. Las causas del \u00e9xito no son simplemente \u00ablo contrario\u00bb de las causas del fracaso.<\/p>\n<\/li>\n<\/ul>\n<h4 data-path-to-node=\"19\"><span class=\"ez-toc-section\" id=\"Comparativa_de_la_solucion_final\"><\/span>Comparativa de la soluci\u00f3n final<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p data-path-to-node=\"20\">La soluci\u00f3n booleana para el \u00e9xito empresarial se ver\u00eda as\u00ed:<\/p>\n<div class=\"math-block\" style=\"text-align: center;\" data-math=\"text{\u00c9xito de Ventas} = (M cdot L cdot sim B) + (L cdot B cdot sim M)\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord text\"><span class=\"mord\">\u00c9xito de ventas<\/span><\/span><span class=\"mrel\">=<\/span><\/span><span class=\"base\"><span class=\"mopen\">(<\/span><span class=\"mord mathnormal\">M<\/span><span class=\"mbin\">\u22c5<\/span><\/span><span class=\"base\"><span class=\"mord mathnormal\">L<\/span><span class=\"mord\">\u22c5<\/span><span class=\"mrel\">\u223c<\/span><\/span><span class=\"base\"><span class=\"mord mathnormal\">B<\/span><span class=\"mclose\">)<\/span><span class=\"mbin\">+<\/span><\/span><span class=\"base\"><span class=\"mopen\">(<\/span><span class=\"mord mathnormal\">L<\/span><span class=\"mbin\">\u22c5<\/span><\/span><span class=\"base\"><span class=\"mord mathnormal\">B<\/span><span class=\"mord\">\u22c5<\/span><span class=\"mrel\">\u223c<\/span><\/span><span class=\"base\"><span class=\"mord mathnormal\">M<\/span><span class=\"mclose\">)<\/span><\/span><\/span><\/span><\/span><\/div>\n<div data-math=\"text{\u00c9xito de Ventas} = (M cdot L cdot sim B) + (L cdot B cdot sim M)\">Donde:<\/div>\n<ul>\n<li data-math=\"text{\u00c9xito de Ventas} = (M cdot L cdot sim B) + (L cdot B cdot sim M)\">Intersecci\u00f3n (\u22c5) Las condiciones deben \u00abcooperar\u00bb (el marketing no sirve sin log\u00edstica).<\/li>\n<li data-math=\"text{\u00c9xito de Ventas} = (M cdot L cdot sim B) + (L cdot B cdot sim M)\">Suma (+) Representa diferentes modelos de negocio competitivos.<\/li>\n<li data-math=\"text{\u00c9xito de Ventas} = (M cdot L cdot sim B) + (L cdot B cdot sim M)\">Negaci\u00f3n (\u223c) Indica que a veces \u00abmenos es m\u00e1s\u00bb (ej., no gastar en marketing para bajar precios).<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-4 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:20px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-6 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-6 fusion-sep-none fusion-title-text fusion-title-size-two\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:36;line-height:1.5;\">Bibliograf\u00eda recomendada<\/h2><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-7 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-7 fusion-sep-none fusion-title-text fusion-title-size-three\"><h3 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:24;--minFontSize:24;line-height:1.5;\">M\u00e9todo fsQCA<\/h3><\/div><div class=\"fusion-text fusion-text-8\"><p>Ragin, Charles C. (2008). <i>Redesigning Social Inquiry: Fuzzy Sets and Beyond.<\/i> University of Chicago Press.<\/p>\n<p>Ragin, Charles C. (2000). <i>Fuzzy-Set Social Science.<\/i> University Chicago Press.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-8 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-8 fusion-sep-none fusion-title-text fusion-title-size-three\"><h3 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:24;--minFontSize:24;line-height:1.5;\">M\u00e9todos mixtos<\/h3><\/div><div class=\"fusion-text fusion-text-9\"><p>Molina Azor\u00edn, Jos\u00e9 Francisco; F\u00e0bregues Feij\u00f3o, Sergi y Escalante Barrios, Elsa Luc\u00eda (2024). <em>M\u00e9todos mixtos de investigaci\u00f3n<\/em>. Pir\u00e1mide.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-5 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-9 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-9 fusion-sep-none fusion-title-text fusion-title-size-two\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:36;line-height:1.5;\">Enlaces<\/h2><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-10 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.333333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:5.76%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:5.76%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-11 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.333333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:5.76%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:5.76%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div ><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-1 fusion-button-span-yes fusion-button-default-type\" target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\/\/en.wikipedia.org\/wiki\/Charles_C._Ragin\"><i class=\"fa-wikipedia-w fab awb-button__icon awb-button__icon--default button-icon-left\" aria-hidden=\"true\"><\/i><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Charles C. Ragin<\/span><\/a><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-12 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.333333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:5.76%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:5.76%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-6 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-13 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:60px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-dotted\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#000000;border-top-width:1px;\"><\/div><\/div><\/div><\/div><\/div><\/div>\n<div class=\"ttr_end\"><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"template":"","meta":{"inline_featured_image":false,"_vp_format_video_url":"","_vp_image_focal_point":[]},"glosario_categoria":[7025],"glosario_tag":[7029,7031],"class_list":["post-58867","glosario","type-glosario","status-publish","hentry","glosario_categoria-investigacion-analisis","glosario_tag-metodologia-de-investigacion","glosario_tag-metodos-mixtos"],"_links":{"self":[{"href":"https:\/\/www.carolinacampalans.com\/index.php?rest_route=\/wp\/v2\/glosario\/58867","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.carolinacampalans.com\/index.php?rest_route=\/wp\/v2\/glosario"}],"about":[{"href":"https:\/\/www.carolinacampalans.com\/index.php?rest_route=\/wp\/v2\/types\/glosario"}],"wp:attachment":[{"href":"https:\/\/www.carolinacampalans.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=58867"}],"wp:term":[{"taxonomy":"glosario_categoria","embeddable":true,"href":"https:\/\/www.carolinacampalans.com\/index.php?rest_route=%2Fwp%2Fv2%2Fglosario_categoria&post=58867"},{"taxonomy":"glosario_tag","embeddable":true,"href":"https:\/\/www.carolinacampalans.com\/index.php?rest_route=%2Fwp%2Fv2%2Fglosario_tag&post=58867"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}