| Title: |
The Chronic(les) of Absenteeism Measurement: Unpacking the Many Measures of Attendance and Evidence for a Lower Chronic Absenteeism Threshold. EdWorkingPaper No. 26-1380 |
| Language: |
English |
| Authors: |
Tiffany Wu; Christina Weiland; Thomas Staines; Annenberg Institute for School Reform at Brown University |
| Source: |
Annenberg Institute for School Reform at Brown University. 2026. |
| Availability: |
Annenberg Institute for School Reform at Brown University. Brown University Box 1985, Providence, RI 02912. Tel: 401-863-7990; Fax: 401-863-1290; e-mail: annenberg@brown.edu; Web site: https://annenberg.brown.edu/ |
| Peer Reviewed: |
N |
| Page Count: |
72 |
| Publication Date: |
2026 |
| Sponsoring Agency: |
Institute of Education Sciences (ED) |
| Contract Number: |
R305A220036; R305B200011 |
| Document Type: |
Reports - Research; Numerical/Quantitative Data |
| Education Level: |
Elementary Education; Junior High Schools; Middle Schools; Secondary Education; Preschool Education; Early Childhood Education |
| Descriptors: |
Attendance; Measurement Techniques; Public Schools; Urban Schools; Predictive Validity; Standardized Tests; Elementary School Students; Preschool Children; Middle School Students; Academic Achievement; Accuracy |
| Geographic Terms: |
Massachusetts (Boston) |
| Assessment and Survey Identifiers: |
Massachusetts Comprehensive Assessment System |
| Abstract: |
Chronic absenteeism has surged in recent years, drawing growing policy and research attention. However, a complicating factor often overlooked is that the measurement of absenteeism is inconsistent, with substantial researcher degrees of freedom. This study investigates how researchers' measurement choices shape predictions of academic risk and how absenteeism can be more effectively operationalized as an early warning signal. Using a sample of 8,891 students followed from Pre-K through eighth grade in Boston Public Schools, we (1) describe developmental patterns in absenteeism; (2) apply ROC curve analyses to evaluate the diagnostic accuracy of multiple absence measures for predicting scores on state standardized tests; (3) use Youden's J to derive empirical thresholds for chronic absenteeism; and (4) assess predictive validity over time. We find that measurement choices matter. By middle school, total and unexcused absences are more predictive of low academic performance than excused absences. Additionally, empirically derived thresholds for identifying students at risk consistently fall below the widely used chronic absenteeism benchmark of missing 10% of school days ([almost equal to]18 days). We discuss implications for research, policy, and early warning systems. |
| Abstractor: |
As Provided |
| IES Funded: |
Yes |
| Entry Date: |
2026 |
| Accession Number: |
ED678330 |
| Database: |
ERIC |