Project implemented by the Educational Research Institute as part of the European Funds for Social Development (EFSD) programme.

PIRLS

Where to find the data and research instruments

Where to find international datasets?

IEA Data and Tools Repository provides:

  • Datasets from each PIRLS cycle containing the complete set of responses from students, school principals, teachers and parents from countries participating in the study;
  • Technical documentation, user guides, codebooks, and variable information;
  • Source versions of the questionnaires and a description of the national adaptations applied.

Available data formats: SAS and SPSS and for the most recently completed study cycle, also R.

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 (PIRLS 2021). 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 PIRLS 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.