Informacje - IBE PIB

Analysis of ILSA data using the IEA IDB Analyzer

The IEA IDB Analyzer is a free tool developed by the IEA for working with data from international large-scale assessments conducted by the IEA and the OECD. It does not require advanced programming skills. The software automatically generates scripts in SPSS, SAS, or R, taking into account the specific features of these studies (including the sampling design and the computations required for correct analysis of results). The tool also facilitates merging data from different files, for example combining students’ responses with information about their schools or teachers. This means that, with just a few clicks, you can prepare a dataset that allows you to examine how students’ results differ depending on selected school characteristics.

Analysis of ILSA data using the R intsvy package

The intsvy package in R is a tool for users who want to analyse data from international large-scale assessments (ILSAs) such as PISA, TIMSS, PIRLS, ICILS, or PIAAC. It streamlines work with large datasets and helps users move more quickly from raw files to results, without having to manually perform many repetitive steps. With intsvy, you can efficiently compute, for example, means, percentages, and percentiles, as well as produce simple analyses of relationships and create charts.

Analysis of ILSA data using the R Rrepest package

The Rrepest package in R was developed based on the Repest module in Stata. It was designed to facilitate the analysis of data from international large-scale assessments conducted by the OECD and the IEA and to speed up work with large datasets. The tool automatically applies key rules required for these studies (including appropriate weighting and the estimation of measurement uncertainty), making it easier to obtain correct results without performing many steps manually.

Analysis of ILSA data using the Stata repest package

Repest is a Stata package developed by OECD analysts that supports the analysis of data from international large-scale assessments by automating many of the steps required to obtain correct results. This makes it easier to work with large datasets and to move more quickly from raw files to outputs, without manually performing repetitive calculations. It is also a good solution for users who are just starting to work with international assessment data and want to base their analyses on well-established procedures.

TIMSS case study analysis with the IEA IDB Analyzer

In this analysis, we present the process of preparing and analysing a TIMSS 2023 dataset using the IEA IDB Analyzer. This tool was developed for users who do not have advanced programming skills. It enables users to easily generate ready-to-run scripts in SPSS, SAS, or R syntax.

From this tutorial you will learn:

how to compare students’ achievement in mathematical reasoning and across selected countries, by gender,
how to analyse the relationship between the school location and students’ achievement in mathematical reasoning,
how to analyse the relationship between students’ socio-economic status and students’ achievement in biology.

SSES case study analysis with Rrepest

In this analysis, we present the process of preparing and analysing data from the SSES study conducted in 2019, which measures social and emotional skills. The analyses are carried out using the R package Rrepest.

From this tutorial you will learn:

how to compare results on students’ self-control across selected cities participating in the study;
how to compare students’ results by gender and age group (cohort);
how to analyse the relationship between socio-economic status and students’ level of empathy.

PISA case study analysis with intsvy

In this analysis, we present the process of preparing and analysing data from PISA 2022 using the intsvy package in R. The analysis was developed for R users who are looking for a tool that automatically supports international educational assessments and enables easy visualisation of analytical results.

From this tutorial you will learn:

how to compare students’ reading literacy achievement across selected participating countries by gender,
how to analyse differences in students’ science achievement depending on the student’s school location, as well as by student gender;
how to analyse the relationship between a student’s family socio-economic status and being absent from school for more than three months due to problem behaviour.

Where to find the data and research instruments from International Large-Scale Assessments (ILSA) in education?

Data from International Large-Scale Assessments in education are readily accessible to a wide range of users. They can be browsed and analyzed using interactive tools, which also allow customized reports and visualizations to be created to meet specific research needs. More advanced analyses, however, require the use of statistical software.

Unit-level data from the studies conducted by IEA and OECD are publicly available on those organizations’ websites, however they are copyright protected. Downloading the datasets typically requires reading and accepting the terms and conditions of use. Sometimes users may also need to provide contact information for themselves and their institution, and indicate the studies in which they plan to use the data. In some cases, additional forms must be completed. To support the use of these resources, online data browsers have been developed. These tools are easy to navigate and do not require advanced statistical skills.

International Large-Scale Assessments usually consist of tests, which measure participants’ skills, and questionnaires for gathering contextual information. Questionnaires for different respondent groups (e.g., students, teachers, principals) are typically published and openly available. The test instruments, however, are not publicly accessible, since the studies are conducted in cycles and rely on repeated measures to track trends over time. The only exceptions are sample items, which are published after each cycle and made available in reports and on the study organizers’ websites.

As with the data, the research instruments are the intellectual property of IEA and OECD and are copyright protected. When using these instruments – whether in their source versions or in various language adaptations – additional rules and requirements may apply.

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strona testowa

Where to find international datasets?

The OECD PIAAC website provides:

Datasets from each PIAAC cycle, containing the full set of responses from respondents;
Technical documentation, user guides, codebooks, and variable information;
Source and national versions of the questionnaires.

Available data formats: SAS, SPSS, and CSV, along with a Stata script for importing the data from the CSV file.

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 (PIAAC 2023). The files can be merged with the publicly available international databases by using the common identifier (respondent 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 PIAAC 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.

Tutorials

Analysis of ILSA data using the IEA IDB Analyzer

Analysis of ILSA data using the R intsvy package

Analysis of ILSA data using the Stata repest package

Analysis of ILSA data in R Using the Rrepest Package

Analyzing 2023 PIAAC Data Using R Package EdSurvey

Useful links

Where to find international datasets?

The OECD SSES website provides:

Datasets from each SSES study cycles, containing the full set of responses from students, parents, school principals, and teachers;
Technical documentation, user guides, codebooks, and variable information;
Source and national versions of the questionnaires.

Available data formats: STATA and SPSS and for SSES 2023, also and CSV.

How to analyse study data?

Do you want to analyse SSES 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.

Tutorials

Analysis of ILSA data using the Stata repest package

Analysis of ILSA data in R Using the Rrepest Package

Thematic Analyses

SSES case study analysis with Rrepest

Przydatne linki

Datasets and technical documentation

SSES data and methodology

Technical reports

SSES 2023

SSES 2019

Questions? Please contact us.

Study description

Study website

Where to find international datasets?

The OECD TALIS website provides:

Datasets from each TALIS cycle, containing the full set of responses from teachers and school principals;
Technical documentation, user guides, codebooks, and variable information;
Source and national versions of the questionnaires.

Available data formats: SAS, SPSS, and, depending on the study cycle, also STATA and CSV.

National items

How to analyse study data?

Do you want to analyse TALIS 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.

Tutorials

Analysis of ILSA data using the IEA IDB Analyzer

Analysis of ILSA data using the R intsvy package

Analysis of ILSA data using the Stata repest package

Analysis of ILSA data in R Using the Rrepest Package

Useful links

Datasets and technical documentation

TALIS data and methodology

Technical reports

TALIS 2018 Technical Report

TALIS 2013 Technical Report

TALIS 2008 Technical Report

User guides for the International Database

TALIS 2018 and TALIS Starting Strong 2018 User Guide

TALIS 2013 User Guide for the International Database

Data browsers

International Data Explorer (NCES)

Website on International Large-Scale Assessments in education

ILSA Gateway

Questions? Please contact us.

Study description

Study website

Where to find international datasets?

IEA Data and Tools Repository provides:

Datasets from each ICILS cycle containing the complete set of responses from students, school principals and teachers 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.

National items

How to analyse study data?

Do you want to analyse ICILS 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.