<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2007-5057</journal-id>
<journal-title><![CDATA[Investigación en educación médica]]></journal-title>
<abbrev-journal-title><![CDATA[Investigación educ. médica]]></abbrev-journal-title>
<issn>2007-5057</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Medicina]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-50572015000400242</article-id>
<article-id pub-id-type="doi">10.1016/j.riem.2015.09.003</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Una breve introducción a los modelos de clases jerárquicas (HICLAS)]]></article-title>
<article-title xml:lang="en"><![CDATA[A brief introduction to hierarchical classes (HICLAS) models]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Leenen]]></surname>
<given-names><![CDATA[Iwin]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Nacional para la Evaluación de la Educación  ]]></institution>
<addr-line><![CDATA[México D.F.]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2015</year>
</pub-date>
<volume>4</volume>
<numero>16</numero>
<fpage>242</fpage>
<lpage>251</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-50572015000400242&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-50572015000400242&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-50572015000400242&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[En este artículo, se presenta una introducción no técnica a la familia de modelos de clases jerárquicas (HICLAS, abreviados por sus siglas en inglés). El modelo HICLAS original, propuesto por De Boeck y Rosenberg en 1988, permite analizar una matriz de datos binarios; es decir, analiza una tabla con valores de 0 o 1. Contrario a otros métodos de clasi&#64257;cación, HICLAS proporciona como resultado del análisis (a) dos clasi&#64257;caciones jerárquicas, una de los «objetos» (las &#64257;las de la tabla) y otra de los «atributos» (las columnas), y (b) una asociación de dichas clasi&#64257;caciones a partir de la cual se puede pronosticar (o reconstruir) el valor en cada celda de la tabla. Se ilustran los bene&#64257;cios de los modelos HICLAS con ejemplos en el ámbito de la educación médica, explicando los diversos pasos en la aplicación de este método y con especial énfasis en la interpretación de los resultados.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[This article presents a nontechnical introduction to the family of hierarchical classes (HICLAS) models. The original HICLAS model, proposed by De Boeck and Rosenberg in 1988, is suited for the analysis of a binary data matrix; that is, it analyses a two-way table with values equal to 0 or 1. Unlike other classi&#64257;cation methods, the output of a HICLAS analysis includes (a) two hierarchical classi&#64257;cations, one for the &#8220;objects&#8221; (the table's rows) and another for the &#8220;attributes&#8221; (the columns), and (b) an association of these classi&#64257;cations from which it is possible to predict (or reconstruct) the value in each cell of the table. The advantages of HICLAS models are illustrated with examples in the &#64257;eld of medical education, with an explanation of the different steps in the application of the model, as well as special emphasis on the interpretation of the results.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Clases jerárquicas]]></kwd>
<kwd lng="es"><![CDATA[Clustering]]></kwd>
<kwd lng="es"><![CDATA[Datos binarios]]></kwd>
<kwd lng="es"><![CDATA[Modelos componenciales]]></kwd>
<kwd lng="en"><![CDATA[Hierarchical classes]]></kwd>
<kwd lng="en"><![CDATA[Clustering]]></kwd>
<kwd lng="en"><![CDATA[Binary data]]></kwd>
<kwd lng="en"><![CDATA[Componential models]]></kwd>
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