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Using a secondary dataset from a 2009 evaluation of a randomized control study of Success for All (SfA; Quint, 2016), I explore the relationship between teachers’ reported data use practices and observed implementation of SfA practices. Results of mixed and generalized linear modeling analyses suggest that differences in data use practices are best explained by school-level random effects. Within schools, collegial data use is more predictive of teachers’ data use practices than administrator data use. Time was the strongest predictor of changes in data use, which interacts with collegial data use scores to predict increases in schoolwide implementation of SfA. These results suggest teachers and professional climates of schools are significant factors when planning schoolwide reform initiatives.