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A5094118493Ege University
2024
Abstract In this study we utilized data from the Programme for International Student Assessment (PISA) to investigate differences in schools’ average mathematics scores by treating intraclass correlation coefficient (ICC) as a measure of educational inequality. We computed ICCs both with unconditional and conditional multilevel models 79 PISA 2018 participating countries meta-analyzed results. There are two main purposes study; quantify inequality after controlling common PISA-variables...
10.21203/rs.3.rs-4066275/v1
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Research Square (Research Square)
2024-03-11
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