Parity in General Education

General education parity between members of minority communities and titular groups is assessed through the standardized test scores for the Programme for International Student Assessment (PISA). Every three years, PISA tests assess 15-year-old students' knowledge and skills in science, mathematics, and reading in the language of instruction in their schools. Students can take the test in the dominant or minority languages. We define the ethnic gap in educational attainment based on a point-difference score in the PISA test results across categories in each country between 2006 and 2018.

Majority-minority disparities in PISA assessment results

We calculate a point-difference score in the PISA test as a subtraction of the majority students' scores from those of minority students by the language of the test. If there was no ethnic gap in student achievements, we would observe a zero-point difference. A positive score indicates a gap in favor of the minority group, and a negative one indicates a gap in favor of the majority group.

Figure 1 visualizes the point-difference score in each of our cases. The continuous black line represents the point-difference score between minority and majority students tested in their mother tongues. The dashed line visualizes the same difference for minorities tested in the majority language. In most cases, the point-difference score is negative indicating that majority students consistently outperform their minority peers across test categories.

Table 1 summarizes the results of the average point-difference scores between majorities and minorities by the language of the test across all test years.

Figure 1: Average point-differences in PISA results of minority students compared to majority students

Average point differences in PISA results
Description: This image displays five separate line-charts which show the point difference between PISA results for native language speakers and minorities in their first language and minorities in the national language. The charts are, in order, Russian speakers in Estonia and Latvia, Hungarians in Slovakia and Romania, and Polish, Russian and other minority language speakers in Lithuania. Each chart further subdivides the results into specific educational subjects of Math, Reading, and Science. For all charts, by 2018 the data clearly demonstrates a lower point-difference for minorities learning in their own languages, yet these are still lower attainments than that of native language speakers except in Romania.

 

Table 1: Average point-difference scores between majority and minority students

Country Group Mathematics Reading Science
Latvia Russian speakers in Latvian -25 -31 -41
Russian speakers in Russian -4 0 -8
Estonia Russian speakers in Estonian -32 -44 -45
Russian speakers in Russian -35 -45 -44
Slovakia Hungarians in Slovak -75 -83 -67
Hungarians in Hungarian -34 -34 -24
Romania Hungarians in Romanian -28 -41 -39
Hungarians in Hungarian 22 35 44
Lithuania Poles -41 -69 -68
Russian speakers -10 -21 -19