This publication includes detailed information on how to analyse the PISA data, enabling researchers to both reproduce the initial results and to undertake further analyses.

Rev. ed. of: PISA 2003 data analysis manual. SPSS users. c2005.

This publication provides all the information required to understand the PISA 2003 educational performance database and perform analyses in accordance with the complex methodologies used to collect and process the data. It includes worked examples providing full syntax in SPSS®.

The results from PISA 2015 and TIMSS 2015 were published in November and December 2016. All the Nordic countries participated in PISA. Denmark, Finland, Norway and Sweden participated in TIMSS grade 4 and Norway and Sweden participated in TIMSS grade 8. The Nordic countries have similarities but also differences, which makes it interesting and valuable to carry out analyses in a Nordic perspective. In this report researchers from all the Nordic countries have done in-depth analyses on different policy relevant themes based on the results presented in 2016. The purpose of this report has been to present policy relevant analyses of TIMSS and PISA in a way that is accessible for policy makers on different levels in the Nordic countries, with the aim to contribute to further development in the education area.

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 analysis.

This edited volume documents attempts to conduct systematic and prodigious research using multilevel analysis in educational settings, and present their findings and identify future research directions. It showcases the versatility of multilevel analysis, and elucidates the unique advantages in examining complex and wide-ranging educational issues. This book brings together leading experts around the world to share their works in the field, highlighting recent advances, creative and unique approaches, and innovative methods using multilevel modeling and theoretical and practical aspects of multilevel analysis in culturally and linguistically-diverse educational contexts.