A prominent academic framework for measuring school impact on student attendance underscores a wider question facing education systems: how to isolate effective strategies in the presence of demographic and baseline differences. In the Michigan study, researchers used a value-added approach to control for student race, prior-year attendance and test scores, poverty levels, special education status, English-learner status, and student mobility. The method clarifies how much each school’s approach appeared to affect attendance rather than simply reflecting who enrolls where. The findings show meaningful differences among schools even after statistical controls, supporting the premise that targeted intervention design can shift attendance behavior. The study links effect sizes to chronic absence definitions, using a measure where students are considered chronically absent when missing at least 10% of days in a 180-day year. Researchers estimate that students placed in more effective practice percentiles could gain about seven days attended. As districts and states face ongoing chronic absenteeism pressures—despite some improvements since COVID—the research reinforces the need for careful implementation and consistent, evidence-backed family engagement. The broader takeaway for higher education and K-12 feeder systems is that measurement and strategy design are inseparable when addressing student success outcomes.