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El Masri, Yasmine H.; Andrich, David – Applied Measurement in Education, 2020
In large-scale educational assessments, it is generally required that tests are composed of items that function invariantly across the groups to be compared. Despite efforts to ensure invariance in the item construction phase, for a range of reasons (including the security of items) it is often necessary to account for differential item…
Descriptors: Models, Goodness of Fit, Test Validity, Achievement Tests
Castejón, Alba; Zancajo, Adrián – European Educational Research Journal, 2015
This article focuses on analysing the effect of educational differentiation policies of OECD educational systems on socioeconomically disadvantaged students, based on data from PISA 2009. The analysis is conducted on the basis of a definition of two subgroups of disadvantaged students: those that achieve high scores, and those obtaining scores…
Descriptors: Disadvantaged, Educational Policy, Educational Practices, Individualized Programs
Bulle, Nathalie – Comparative Education, 2011
The PISA survey influences educational policies through an international competitive process which is not wholly rationally-oriented. Firstly, PISA league tables act normatively upon the definition of formal educational aims while the survey tests cannot evaluate the educational systems' relative strengths with regards to such aims. We argue that…
Descriptors: Foreign Countries, Educational Policy, Educational Assessment, Competition
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection