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Abstract
Cross-national comparisons of educational performance typically focus on simple country rankings by test scores, which sheds little light on differential patterns of student achievement. The current study reports on the clustering of students, schools and nations based on achievement and socioeconomic status using multilevel latent class analysis with the PISA 2009 data, in order to gain insights into differential patterns of achievement and variables associated with these patterns. It is hoped that considering achievement patterns more deeply than simple score ranks will benefit students and educators by providing information regarding various ways that schools can successfully nurture learning. Patterns of achievement and socioeconomic status are reported at all three levels of analysis, and implications of these results are discussed.