Data fusion with international large scale assessments: a case study using the OECD PISA and TALIS surveys

*Correspondence: [email protected] 1Department of Educational Psychology, University of Wisconsin, Madison, USA Full list of author information is available at the end of the article Abstract Background: In 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.