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This study examines the effect of learning communities (LCs) on elementary school students’ performance in reading and mathematics using data from the ECLS-K. This study also investigates student or school characteristics moderate the effect of LCs. Principal component analysis (PCA) was used to identify correlated LC items from the ECLS-K teacher questionnaire. Hierarchical and cross-classified random effects modeling (HCM) was then used to analyze the impact of LCs’ on students’ reading and mathematics performance. While teacher collaboration had a significant positive effect on growth in reading and mathematics scores, a positive school climate was associated with significantly higher initial reading scores. Rarely did student or school characteristics moderate the effect of LCs.