<?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>2007-5936</journal-id>
<journal-title><![CDATA[Psicumex]]></journal-title>
<abbrev-journal-title><![CDATA[Psicumex]]></abbrev-journal-title>
<issn>2007-5936</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Sonora, Consorcio de Universidades Mexicanas A,C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-59362024000100110</article-id>
<article-id pub-id-type="doi">10.36793/psicumex.v14i1.589</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Structural Equations for Testing Nested Models in Interdisciplinary Research]]></article-title>
<article-title xml:lang="es"><![CDATA[Ecuaciones estructurales para la prueba de modelos anidados en investigación interdisciplinaria]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Corral-Verdugo]]></surname>
<given-names><![CDATA[Víctor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Sonora Department of Psychology ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>14</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-59362024000100110&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-59362024000100110&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-59362024000100110&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Barriers to compare opposed or alternative scientific theories exist, based on diverse premises. One is the concept of incommensurability, the idea suggesting that different paradigms or theories cannot be contrasted since they do not share common tenets. This paper proposes the use of nested models for testing the efficacy of isolated disciplinary explanations of psychological and social problems versus the power of interdisciplinary explanations. According to this approach, such nested models would include alternative disciplinary theories competing against each other and against an inclusive model that combines these unidisciplinary explanations. This situation is illustrated with an empirical study using a questionnaire on predictors of precautionary behaviors against COVID-19. Data was analyzed using structural equations, considering a psychological and a health-science perspective, and integrated into an interdisciplinary model. Results from this study showed that the best model was the interdisciplinary model, thus providing some evidence for the use of nested models as a method to integrate different disciplines. The advantages of this approach are discussed in the face of the growing, complex, and serious problems that humanity is nowadays experiencing.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Basadas en diversas premisas, existen barreras para comparar teorías científicas opuestas o alternativas. El concepto de inconmensurabilidad es una de estas dificultades, la idea que sugiere que diferentes paradigmas o teorías no pueden contrastarse porque no comparten principios comunes. Este artículo propone el uso de modelos anidados para probar la eficacia de explicaciones disciplinarias aisladas de problemas psicológicos y sociales en comparación con la de explicaciones interdisciplinarias. Según este enfoque, tales modelos anidados incluirían teorías disciplinarias alternativas que compiten entre sí y contra un modelo inclusivo que combine estas explicaciones unidisciplinarias. Esta situación se ilustra con un estudio empírico sobre predictores de conductas de precaución frente al COVID-19. Los resultados fueron analizados mediante ecuaciones estructurales, considerando una perspectiva psicológica y de ciencias de la salud, e integrados en un modelo interdisciplinario. Los hallazgos mostraron que era mejor el modelo interdisciplinario, proporcionando evidencia para el uso de modelos anidados como método para integrar diferentes disciplinas. Se discuten las ventajas de utilizar este enfoque frente a los crecientes, complejos y graves problemas que vive hoy la humanidad.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[interdiscipline]]></kwd>
<kwd lng="en"><![CDATA[psychology]]></kwd>
<kwd lng="en"><![CDATA[health sciences]]></kwd>
<kwd lng="en"><![CDATA[nested models]]></kwd>
<kwd lng="en"><![CDATA[structural equations]]></kwd>
<kwd lng="es"><![CDATA[interdisciplina]]></kwd>
<kwd lng="es"><![CDATA[psicología]]></kwd>
<kwd lng="es"><![CDATA[ciencias de la salud]]></kwd>
<kwd lng="es"><![CDATA[modelos anidados]]></kwd>
<kwd lng="es"><![CDATA[ecuaciones estructurales]]></kwd>
</kwd-group>
</article-meta>
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