{"data":{"id":"10.6084/m9.figshare.3481700","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3481700","prefix":"10.6084","suffix":"m9.figshare.3481700","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Repositorio Academico UPC","affiliation":[],"nameIdentifiers":[]},{"name":"Ventura, Gina Chávez","nameType":"Personal","givenName":"Gina Chávez","familyName":"Ventura","affiliation":[],"nameIdentifiers":[]},{"name":"Soto, César Merino","nameType":"Personal","givenName":"César Merino","familyName":"Soto","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Validez estructural de la escala de autorregulación del aprendizaje para estudiantes universitarios / Structural validity of the learning self-regulation questionnaire for university students"}],"publisher":"figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"170203 Knowledge Representation and Machine Learning","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"130103 Higher Education","subjectScheme":"FOR"},{"subject":"FOS: Educational sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Educational sciences","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2016-07-11","dateType":"Created"},{"date":"2016-07-11","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["172179 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"\u003cb\u003eRESUMEN: \u003c/b\u003eEl objetivo del estudio fue obtener evidencias de validez de la estructura interna del Cuestionario de Autorregulación del Aprendizaje (Learning Self-Regulation Questionnaire; LSRQ) y verificar la invarianza métrica comparada con un estudio previo. Los participantes fueron 237 estudiantes universitarios de los tres primeros ciclos académicos de una universidad privada, procedentes de tres ciudades del Perú (dos del norte y una de Lima). El análisis se realizó mediante un análisis factorial semiconfirmatorio, especificando como matriz de comparación (a) la configuración derivada de un estudio previo, y (b) la estimación libre de las cargas factoriales. Los resultados indican que dos dimensiones representan satisfactoriamente la estructura del instrumento; pero la invarianza métrica respecto a un estudio previo no fue satisfactoria. La reespecificación del modelo, mediante la eliminación de dos ítems con problemas de complejidad factorial y la estimación libre de los ítems, obtuvieron resultados satisfactorios. Se discuten estos resultados en el marco de la interpretación de sus puntajes y la falta de invarianza métrica.\u003cbr\u003e\u003cb\u003eDESCRIPCIÓN: \u003c/b\u003eThe study’s aim was to obtain evidence of validity of the Learning Self-Regulation Questionnaire (LSRQ) internal structure and to verify metric invariance compared with a previous research study. The participants were 237 university students from the first three academic semesters of a private university in three Peruvian cities (two in the North of Peru, and one in Lima). The analysis was performed by a semi-confirmatory factor analysis, specifying as comparison matrix: a) the configuration derived from a previous study, and b) the free estimation loadings factors. The results indicate that two dimensions represent the instrument structure satisfactorily; but the metric invariance compared to a previous study was not satisfactory. The re-specification of the model, by removing two items with factorial complexity problems and the free estimation of the items, was successful. These results are discussed so as to the interpretation of their scores and the lack of metric invariance.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAUTORES: \u003c/b\u003e\u003cb\u003eChávez Ventura, Gina\u003c/b\u003e; \u003cb\u003eMerino Soto, César\u003c/b\u003e\u003cb\u003eEDITORIAL: \u003c/b\u003e\u003cb\u003eUniversidad Peruana de Ciencias Aplicadas (UPC)\u003c/b\u003e\u003cb\u003eREVISTA: \u003c/b\u003e\u003cb\u003eRevista Digital de Investigación en Docencia Universitaria (RIDU)\u003c/b\u003e\u003cb\u003eFECHA DE PUBLICACIÓN: \u003c/b\u003eDIC-2015\u003cb\u003ePDF: FULLTEXT / TEXTO COMPLETO\u003c/b\u003e\u003cb\u003eURL: \u003c/b\u003ehttp://hdl.handle.net/10757/604928\u003cb\u003eDOI: \u003c/b\u003e10.19083/ridu.9.453; 10.19083/ridu.9.405","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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