Where to find international datasets?

The OECD PISA website provides:

• Datasets from each PISA cycle, containing the full set of responses from students and school principals and, where applicable, teachers in participating countries;
• Technical documentation, user guides, codebooks, and variable information;
• Source and national versions of the questionnaires.

Data are available in SAS and SPSS formats.

For the most recent completed cycle (PISA 2022), the OECD has also made publicly available the tables and charts used in the international reports, along with the SPSS and Stata scripts used for data analysis. These resources allow the analyses presented in the international reports to be replicated.

National items

Countries participating in International Large-Scale Assessments may – in agreement with the organizers – include a small number of questions in the questionnaire that are of particular national relevance. These items are usually placed at the end of the questionnaire. Datasets are provided below with respondents’ answers to the country-specific questions from the most recent cycle (PISA 2022). The files can be merged with the publicly available international databases by using the common identifier (student ID). It is a simple way to enrich the analyses with information that is particularly relevant in Poland and to interpret the results more effectively. We encourage you to download the dataset and see what additional insights it can provide.

How to analyse study data?

Do you want to analyse PISA data? Here you will find practical information compiled for people who want to carry out such analyses independently, including those who are just becoming familiar with the specifics of international large-scale assessments (ILSA). We describe the most popular software and packages for analysing ILSA data and how to use them in practice. We also provide step-by-step guidance on how to conduct analyses—from where to download the data, through information on data structure and variable names, to examples of specific analyses with ready-to-run analysis scripts and visualisations.

Useful links