<?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>2215-3535</journal-id>
<journal-title><![CDATA[Actualidades en Psicología]]></journal-title>
<abbrev-journal-title><![CDATA[Act.Psi]]></abbrev-journal-title>
<issn>2215-3535</issn>
<publisher>
<publisher-name><![CDATA[Instituto de Investigaciones Psicológicas, Universidad de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2215-35352015000200020</article-id>
<article-id pub-id-type="doi">10.15517/ap.v29i119.18810</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Alternatives to Randomized Control Trials: A Review of Three Quasi-experimental Designs for Causal Inference]]></article-title>
<article-title xml:lang="es"><![CDATA[Alternativas a las Pruebas Controladas Aleatorizadas: una revisión de tres diseños cuasi experimentales para la inferencia causal]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pavolovich Panko]]></surname>
<given-names><![CDATA[Pavel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Curtis]]></surname>
<given-names><![CDATA[Jacob D.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gorrall]]></surname>
<given-names><![CDATA[Brittany K.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Little]]></surname>
<given-names><![CDATA[Todd Daniel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Texas Tech University Measurement, and Statistics Institute for Measurement, Methodology, Analysis &amp; Policy]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>USA</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Texas Tech University Institute for Measurement, Methodology, Analysis &amp; Policy ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>USA</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Texas Tech University Institute for Measurement, Methodology, Analysis &amp; Policy ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>USA</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Texas TechUniversity Institute for Measurement, Methodology, Analysis, and Policy ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>USA</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>29</volume>
<numero>119</numero>
<fpage>20</fpage>
<lpage>28</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S2215-35352015000200020&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S2215-35352015000200020&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S2215-35352015000200020&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[  Abstract The Randomized Control Trial (RCT) design is typically seen as the gold standard in psychological research. As it is not always possible to conform to RCT specifications, many studies are conducted in the quasi-experimental framework. Although quasi-experimental designs are considered less preferable to RCTs, with guidance they can produce inferences which are just as valid. In this paper, the authors present 3 quasi-experimental designs which are viable alternatives to RCT designs. These designs are Regression Point Displacement (RPD), Regression Discontinuity (RD), and Propensity Score Matching (PSM). Additionally, the authors outline several notable methodological improvements to use with these designs.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen.  Los diseños de Pruebas Controladas Aleatorizadas (PCA) son típicamente vistas como el mejor diseño en la investigación en psicología. Como tal, no es siempre posible cumplir con las especificaciones de las PCA y por ello muchos estudios son realizados en un marco cuasi experimental. Aunque los diseños cuasi experimentales son considerados menos convenientes que los diseños PCA, con directrices estos pueden producir inferencias igualmente válidas. En este artículo presentamos tres diseños cuasi experimentales que son formas alternativas a los diseños PCA. Estos diseños son Regresión de Punto de Desplazamiento (RPD), Regresión Discontinua (RD), Pareamiento por Puntaje de Propensión (PPP). Adicionalmente, describimos varias mejorías metodológicas para usar con este tipo de diseños.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Psychometrics]]></kwd>
<kwd lng="en"><![CDATA[Quasi-Experimental Design]]></kwd>
<kwd lng="en"><![CDATA[Regression Point Displacement]]></kwd>
<kwd lng="en"><![CDATA[Regression Discontinuity]]></kwd>
<kwd lng="en"><![CDATA[Propensity Score Matching]]></kwd>
<kwd lng="es"><![CDATA[Psicometría]]></kwd>
<kwd lng="es"><![CDATA[Diseños cuasi experimentales]]></kwd>
<kwd lng="es"><![CDATA[Regresión de Punto de Desplazamiento]]></kwd>
<kwd lng="es"><![CDATA[Regresión Discontinua]]></kwd>
<kwd lng="es"><![CDATA[Pareamiento por Puntaje de Propensión.]]></kwd>
</kwd-group>
</article-meta>
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