Analysing PASEC 2019 Data in Stata and R A Practical Guide
This guide is designed as a practical companion for new users of the PASEC data. It explains the key concepts needed to analyse the data correctly, including plausible values and replicate weights, and provides step-by-step examples in both Stata and R for common analytical tasks such as calculating means, estimating proficiency levels, testing group differences, and running regression models.
Use the navigation pane below to explore the guide's sections
Download the PASEC Data
Access datasets, documentation, and supporting resources.
GuideUnderstanding PASEC Data
Learn about the assessment design, sample, and dataset structure.
ConceptReplicate Weights
Understand why replicate weights are required and how to use them.
ConceptPlausible Values
Learn how achievement scores are represented and analysed.
AnalysisAnalysis in Stata
Worked examples for common analytical tasks in Stata.
AnalysisAnalysis in R
Worked examples for common analytical tasks in R.