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Direct linkShin, Yongyun – Grantee Submission, 2013
Hierarchical organization of schooling in all nations insures that international large-scale assessment data are multilevel where students are nested within schools and schools are nested within nations. Longitudinal follow-up of these students adds an additional level. Hierarchical or multilevel models are appropriate to analyze such data. A…
Descriptors: Hierarchical Linear Modeling, Data Analysis, International Assessment, Predictor Variables
Ning, Bo; Van Damme, Jan; Gielen, Sarah; Vanlaar, Gudrun; Van den Noortgate, Wim – Scandinavian Journal of Educational Research, 2016
Finland and Shanghai are strong performers in the Program for International Student Assessment (PISA). The current study explored the similarities and differences in educational effectiveness between these 2 strong performers. To this end, 14 predictors representing student background and school process characteristics were selected from the PISA…
Descriptors: Foreign Countries, Reading Achievement, Comparative Education, Instructional Effectiveness
Yalçin, Seher; Tavsancil, Ezel – Educational Sciences: Theory and Practice, 2014
This research aimed to determine the relative efficiency of the types of school common to three administrations of the PISA (2003-2006-2009) by comparing their results, along with the activities that are to be performed for inefficient school types and changes in the efficiency value of the school types by year. The comparative analysis was based…
Descriptors: Foreign Countries, Comparative Analysis, School Effectiveness, Efficiency
Giambona, Fracesca; Vassallo, Erasmo; Vassiliadis, Elli – Studies in Educational Evaluation, 2011
We use the PISA 2006 results to analyse students' proficiency in EU countries with regard to two indexes that represent the home background, viz the educational resources available at home and the family background of students. However, many factors affect proficiency and therefore, using a DEA-bootstrap, we intend to measure the efficiency of the…
Descriptors: Foreign Countries, Measurement Techniques, Predictor Variables, Educational Environment
