PASEC 2019 Data
Students' scores were estimated at the aggregate level, but also for various categories (e.g., girls versus boys, rural students versus urban students, etc.) for equity analysis purposes. These analyses:
- Distinguish the differences in scores between the modalities of a variable
- Were carried out using regression methods (rather than a simple means tests comparison), thus correcting for violations of the test implementation hypotheses (in means comparison)
- Were done in Stata Software using replicated weights.
For all analyses, procedures for plausible values were used; 5 plausible values were drawn for each student.
For secondary analysis of the PASEC 2019 data, the PASEC team has developed STATA macro programs, which are publicly accessible and available for anyone interested in exploring the data.
The databases can be downloaded using a link and password provided by PASEC at the user's request.
Student databases
- Grade 6 database
- Grade 2 database
The two databases have the same structure, and each is made up of hierarchical data on two levels:
- The first involves "student" data (answers to language and math tests, as well as answers to contextual questionnaires).
- The second relates to school data (principals' responses to contextual questionnaires sent to them).
Teacher database
- It consists of responses from teachers in the surveyed schools to contextual questionnaires about their characteristics and the classes they teach.
At the end of the PASEC2019 assessment, a sample of items was made public in the international report to illustrate student performance. A sample of items from the PASEC2019 assessment is preserved and will be used to compare student performance over time in future PASEC assessment cycles. A new batch of items will be developed for the next international assessment to fill the gaps left.
Publicly released items can be requested online through the PASEC website.