dc.contributor.author | Garrido, Luis Eduardo | |
dc.contributor.author | Barrada, Juan Ramón | |
dc.contributor.author | Aguasvivas Manzano, José Armando | |
dc.contributor.author | Martínez-Molina, Agustín | |
dc.contributor.author | Arias, Víctor B. | |
dc.contributor.author | Golino, Hudson F. | |
dc.contributor.author | Legaz, Eva | |
dc.contributor.author | Ferrís, Gloria | |
dc.contributor.author | Rojo-Moreno, Luis | |
dc.date.accessioned | 2020-09-18T09:02:47Z | |
dc.date.available | 2020-09-18T09:02:47Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Garrido, 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/10.1177/1073191118780461 | es_ES |
dc.identifier.issn | 1073-1911 | |
dc.identifier.uri | http://hdl.handle.net/10810/46147 | |
dc.description | Article first published online: June 17, 2018 | es_ES |
dc.description.abstract | During 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.sponsorship | The author(s) received no financial support for the research,
authorship, and/or publication of this article | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | ASSESSMENT | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | ESEM | es_ES |
dc.subject | CFA | es_ES |
dc.subject | factor structure | es_ES |
dc.subject | adolescents | es_ES |
dc.subject | SDQ | es_ES |
dc.subject | behavioral problems | es_ES |
dc.subject | dimensionality | es_ES |
dc.title | Is Small Still Beautiful for the Strengths and Difficulties Questionnaire? Novel Findings Using Exploratory Structural Equation Modeling | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © The Author(s) 2018
Article reuse guidelines:
sagepub.com/journals-permissions | es_ES |
dc.relation.publisherversion | https://journals.sagepub.com/home/asm | es_ES |
dc.identifier.doi | 10.1177/1073191118780461 | |