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Using a multi-source, multi-measure research design involving 507 high school students and their teachers, we compared prediction of these students’ academic achievement by a composite of students’ and teachers’ measures of students’ self-regulation (SR) with a composite of students’ and teachers’ measures of students’ self-discipline (SD). Hierarchical regression analyses revealed that the SR composite was more predictive of students’ grade point average and performance on a state-wide achievement test than the SD composite. Confirmatory factor analyses showed that, although SD and SR latent factors correlated significantly, a two-factor solution provided an acceptable fit for the results. Structural Equation Modeling analyses indicated that the SR latent factor predicted both measures of students’ achievement significantly, but the SD factor did not predict either achievement measure significantly. No significant gender differences were found with students’ SD, SR, or achievement measures. These results suggest a path for integrating two relatively separate streams in self-regulation research on the basis of a well-established distinction between learning and performance processes.