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Direct linkOECD Publishing, 2017
Globally, enrolment in secondary education has expanded dramatically over the past decades. This expansion is also reflected in PISA data, particularly for low- and middle-income countries. Between 2003 and 2015, Indonesia added more than 1.1 million students, Turkey and Brazil more than 400,000 students, and Mexico more than 300,000 students, to…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
Peer reviewedAgasisti, Tommaso – Education Economics, 2013
In this study, data envelopment analysis (DEA) is used to compute efficiency scores for a sample of Italian schools by employing OECD-PISA2006 data aggregated at school level. Efficiency has been defined as the ability to transform inputs (resources, student background, etc.) into outputs (student achievement). Different versions of the DEA models…
Descriptors: Foreign Countries, Secondary Schools, Efficiency, Competition
Murphy, Dan – Policy Futures in Education, 2014
In its analysis of data it collected in 2006, the Programme for International Student Assessment (PISA) survey by the Organisation for Economic Co-operation and Development (OECD) used a variety of statistical methods to arrive at the 'key findings' that school autonomy, school competition and the public posting of student achievement data were…
Descriptors: Achievement Tests, Academic Achievement, Correlation, Educational Policy
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
OECD Publishing (NJ1), 2012
The "PISA 2009 Technical Report" describes the methodology underlying the PISA 2009 survey. It examines additional features related to the implementation of the project at a level of detail that allows researchers to understand and replicate its analyses. The reader will find a wealth of information on the test and sample design,…
Descriptors: Quality Control, Research Reports, Research Methodology, Evaluation Criteria
Download full textNational Centre for Vocational Education Research (NCVER), 2010
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. This "User guide" has been developed for users of the LSAY data. The guide endeavours to consolidate existing technical documentation and other relevant information…
Descriptors: Longitudinal Studies, Youth, Foreign Countries, Guides
Hopstock, Paul J.; Pelczar, Marisa P. – National Center for Education Statistics, 2011
This technical report and user's guide is designed to provide researchers with an overview of the design and implementation of the 2009 Program for International Student Assessment (PISA), as well as with information on how to access the PISA 2009 data. This information is meant to supplement that presented in Organization for Economic Cooperation…
Descriptors: Parent Materials, Academic Achievement, Measures (Individuals), Program Effectiveness
OECD Publishing (NJ1), 2009
The Organisation for Economic Cooperation and Development's (OECD's) Programme for International Student Assessment (PISA) surveys, which take place every three years, have been designed to collect information about 15-year-old students in participating countries. PISA examines how well students are prepared to meet the challenges of the future,…
Descriptors: Policy Formation, Scaling, Academic Achievement, Interrater Reliability
Papanastasiou, Elena C.; Ferdig, Richard E. – Journal of Computers in Mathematics and Science Teaching, 2006
This article explores the existing and potential relationships between computer use and mathematical literacy. Specifically focusing on data obtained from the Program for International Student Assessment (PISA), the article describes some analyses of educational practices in U.S. schools in relation to various types of computer use and…
Descriptors: Educational Practices, Computer Uses in Education, Numeracy, Correlation
