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. In addition to the inclusion of the necessary techniques, the manual also includes a detailed account of the PISA 2006 database and worked examples providing full syntax in SPSS®.

The OECD Programme for International Student Assessment (PISA) surveys collected data on students’ performances in reading, mathematics and science, as well as contextual information on students’ background, home characteristics and school factors which could influence performance.
Table of Contents:

The Usefulness of PISA Data for Policy Makers, Researchers and Experts on Methodology

Exploratory Analysis Procedures

Sample Weights

Replicate Weights

The Rasch Model

Plausible Values

Computation of Standard Errors

Analyses with Plausible Values

Use of Proficiency Levels

Analyses with School-Level Variables

Standard Error on a Difference

OECD Total and OECD Average

Trends

Studying the Relationship between Student Performance and Indices Derived from Contextual Questionnaires

Multilevel Analyses

PISA and Policy Relevance – Three Examples of Analyses

SPSS® Macro

Appendices


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