dc.creatorKaplan, David
dc.creatorTurner McCarty, Alyn
dc.date.accessioned2016-02-17T19:53:19Z
dc.date.accessioned2023-05-23T23:11:02Z
dc.date.available2016-02-17T19:53:19Z
dc.date.available2023-05-23T23:11:02Z
dc.date.created2016-02-17T19:53:19Z
dc.date.issued2013
dc.identifierhttp://hdl.handle.net/123456789/3832
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6419919
dc.description.abstractIn the context of international large scale assessments, it is often not feasible to implement a complete survey of all relevant populations. For example, the OECD Program for International Student Assessment surveys both students and schools, but does not obtain information from teachers. In contrast the OECD Teaching and Learning International Survey assesses teachers and schools but does not assess students. Clearly, important information is missing from both assessments. One approach to obtaining information from both surveys is through data fusion – a variety of methods that can be used to create a synthetic data set containing information from both surveys.
dc.languageen
dc.publisherSpringerOpen
dc.subjectEvaluación del rendimiento escolar
dc.subjectEvaluaciones internacionales
dc.subjectEvaluación PISA
dc.subjectEvaluación TALIS
dc.subjectAnálisis de datos
dc.titleData fusion with international large scale assessments : a case study using the OECD PISA and TALIS surveys
dc.typeArticle


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