It’s Attendance Awareness Month: How Do We Truly Understand Attendance Numbers?
September is Attendance Awareness Month, which means schools across the country are paying close attention to a familiar set of numbers: days absent, average daily attendance, and rates of chronic absenteeism.
But those numbers can only tell us so much.
Attendance tells us whether a student came to school. It does not tell us why they came, why they stayed home, or what they experienced once they walked through the door.
That distinction matters.
Chronic absenteeism remains stubbornly high nationwide. The most recent available data continue to show rates well above pre-pandemic levels. The causes are complex. Health concerns, transportation, housing instability, family responsibilities, and other barriers can all keep students from school. Disengagement, academic struggles, feeling unsafe, weak relationships with adults, or the belief that school is simply not a place where a student belongs can also keep students from school.
If we measure only attendance, all of those experiences can look the same in the data: Absent.
That is why Attendance Awareness Month should also prompt a broader question for schools: How do we make attendance data truly matter?
Attendance is a measure. It is also a signal.
Attendance data are extraordinarily useful. Patterns of absence can tell us where to look. They can identify students who may need support, reveal disparities among groups of students, show changes over time, and provide an important indicator of whether interventions are working.
But attendance is largely an outcome measure. If a school’s chronic absenteeism rate increases, knowing that rate does not by itself tell educators what to do next.
A school might respond with attendance reminders when the real problem is that students do not feel safe. It might create incentives when students report having no meaningful relationship with an adult in the building. It might increase consequences when families are struggling with transportation. It might launch another attendance campaign when students are saying that their classes feel irrelevant and disengaging. The intervention is only as good as the diagnosis.
Developing a process to explore attendance data side-by-side with a school climate measurement allows the numbers to tell a story. The U.S. Department of Education includes positive school climate and safe learning conditions among the research-based approaches schools should consider when addressing chronic absenteeism. Research and practice also point to relationships, connectedness, support, safety, and engagement as conditions associated with students’ willingness and ability to participate fully in school. The relationship also works in both directions. Students who feel connected to school may be more motivated to attend, while students who attend regularly have more opportunities to develop relationships, participate in the school community, and strengthen that connection. But how do you know what is really behind the chronic absences?
Don’t Make Attendance Data A Guessing Game
Move from counting students to understanding their experience. Attendance data should be examined alongside school climate data. Both should be disaggregated. Patterns should be explored across student groups, grade levels, schools, and time. Quantitative findings should prompt conversations with students, staff, and families rather than substitute for them.
Not everything that can be measured matters equally. A useful measurement system should help a school understand the conditions students experience: Do they feel physically and emotionally safe? Do they believe adults care about them? Do they experience a sense of belonging? Are expectations clear and fair? Do they feel respected by peers and adults? Are they engaged in learning? Do students believe they have a voice in their school?
And students cannot be the only source of information. Staff experience the school from a different vantage point. Families see barriers and strengths that may be invisible inside the building. Looking across student, staff, and family perspectives gives schools a much richer understanding of the environment they have created.
How do you know you are measuring what matters?
We suggest answering three questions.
- First, is it meaningful? There should be a reason you are measuring something beyond the fact that you can or you have to. Measures should reflect conditions that research, experience, and your mission suggest are consequential for students and schools.
- Second, is it trustworthy? Good measurement requires more than putting questions into an online survey. Schools should consider whether the questions actually measure the concepts they claim to measure, whether results are reliable enough to guide decisions, whose voices are represented, and whose may be missing. This becomes especially critical when interpreting attendance. If the students least connected to school are also the least likely to complete a school climate survey, for example, their absence from the survey data can itself obscure an important part of the story.
- Third, is it actionable? A measure should help a school decide what to investigate or change. “Twenty-two percent of our students are chronically absent” describes a problem. “Students who report the weakest sense of belonging are also substantially more likely to be chronically absent” starts to show a potential pathway for action. That relationship does not prove that low belonging caused those absences. But it gives school climate leaders something important that an attendance rate alone cannot offer: a better question to investigate.
None of this means that school climate is responsible for every absence. Schools cannot survey away a transportation problem, cure a chronic illness, or eliminate every barrier families face outside the school building. But schools can understand much more about the conditions within their influence.
During Attendance Awareness Month, we will rightly ask whether students are showing up.
We should also ask something harder:
What are they showing up to?
And if we cannot answer that question with confidence, perhaps we are not yet measuring what matters.
