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dc.contributor.authorGarrido, Luis Eduardo
dc.contributor.authorBarrada, Juan Ramón
dc.contributor.authorAguasvivas Manzano, José Armando
dc.contributor.authorMartínez-Molina, Agustín
dc.contributor.authorArias, Víctor B.
dc.contributor.authorGolino, Hudson F.
dc.contributor.authorLegaz, Eva
dc.contributor.authorFerrís, Gloria
dc.contributor.authorRojo-Moreno, Luis
dc.date.accessioned2020-09-18T09:02:47Z
dc.date.available2020-09-18T09:02:47Z
dc.date.issued2020
dc.identifier.citationGarrido, L. E., Barrada, J. R., Aguasvivas, J. A., Martínez-Molina, A., Arias, V. B., Golino, H. F., Legaz, E., Ferrís, G., & Rojo-Moreno, L. (2020). Is Small Still Beautiful for the Strengths and Difficulties Questionnaire? Novel Findings Using Exploratory Structural Equation Modeling. Assessment, 27(6), 1349–1367. https://doi.org/10.1177/1073191118780461es_ES
dc.identifier.issn1073-1911
dc.identifier.urihttp://hdl.handle.net/10810/46147
dc.descriptionArticle first published online: June 17, 2018es_ES
dc.description.abstractDuring the present decade a large body of research has employed confirmatory factor analysis (CFA) to evaluate the factor structure of the Strengths and Difficulties Questionnaire (SDQ) across multiple languages and cultures. However, because CFA can produce strongly biased estimations when the population cross-loadings differ meaningfully from zero, it may not be the most appropriate framework to model the SDQ responses. With this in mind, the current study sought to assess the factorial structure of the SDQ using the more flexible exploratory structural equation modeling approach. Using a large-scale Spanish sample composed of 67,253 youths aged between 10 and 18 years (M = 14.16, SD = 1.07), the results showed that CFA provided a severely biased and overly optimistic assessment of the underlying structure of the SDQ. In contrast, exploratory structural equation modeling revealed a generally weak factorial structure, including questionable indicators with large cross-loadings, multiple error correlations, and significant wording variance. A subsequent Monte Carlo study showed that sample sizes greater than 4,000 would be needed to adequately recover the SDQ loading structure. The findings from this study prevent recommending the SDQ as a screening tool and suggest caution when interpreting previous results in the literature based on CFA modeling.es_ES
dc.description.sponsorshipThe author(s) received no financial support for the research, authorship, and/or publication of this articlees_ES
dc.language.isoenges_ES
dc.publisherASSESSMENTes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectESEMes_ES
dc.subjectCFAes_ES
dc.subjectfactor structurees_ES
dc.subjectadolescentses_ES
dc.subjectSDQes_ES
dc.subjectbehavioral problemses_ES
dc.subjectdimensionalityes_ES
dc.titleIs Small Still Beautiful for the Strengths and Difficulties Questionnaire? Novel Findings Using Exploratory Structural Equation Modelinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© The Author(s) 2018 Article reuse guidelines: sagepub.com/journals-permissionses_ES
dc.relation.publisherversionhttps://journals.sagepub.com/home/asmes_ES
dc.identifier.doi10.1177/1073191118780461


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