Universal Behavior Screening and Early Warning System Indicators in Middle Schools
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| Title: | Universal Behavior Screening and Early Warning System Indicators in Middle Schools |
|---|---|
| Language: | English |
| Authors: | Emily Graybill (ORCID |
| Source: | Psychology in the Schools. 2025 62(9):2955-2968. |
| Availability: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2025 |
| Sponsoring Agency: | Substance Abuse and Mental Health Services Administration (SAMHSA) (DHHS/PHS) |
| Contract Number: | SM083659 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Junior High Schools Middle Schools Secondary Education |
| Descriptors: | Screening Tests, Student Behavior, Early Intervention, Middle School Students, At Risk Students, Potential Dropouts, Underachievement, Psychological Patterns, Symptoms (Individual Disorders), Behavior Problems, Emotional Problems, Racial Differences, Gender Differences, Attendance Patterns, Predictor Variables |
| DOI: | 10.1002/pits.23515 |
| ISSN: | 0033-3085 1520-6807 |
| Abstract: | Early warning indicator and intervention systems (EWS) have been promoted to identify students at risk of school underperformance or dropout. Current EWS systems typically include administrative data on attendance, behavior incidents requiring disciplinary action, and course performance. This study tested whether specific emotional and behavioral risk symptoms measured by a student self-report universal screener administered in the fall can predict the three EWS indicators after controlling for fall behavioral incidents and whether they account for some of the variance in EWS attributed to demographic characteristics. Using data from 3307 middle school students, we found that after accounting for fall disciplinary issues, conduct problems predicted poorer student outcomes, but hyperactivity/inattention was predictive of better course performance. Peer problems predicted lower performance in some courses, while emotional problems predicted better performance as well as fewer behavioral issues. We also found that these symptoms accounted for some of the variance in EWS attributed to race and gender. The results suggest that student self-report universal screening can complement existing EWS measures and potentially identify at-risk students who may not otherwise be identified through traditional EWS indicators. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1479953 |
| Database: | ERIC |
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| Abstract: | Early warning indicator and intervention systems (EWS) have been promoted to identify students at risk of school underperformance or dropout. Current EWS systems typically include administrative data on attendance, behavior incidents requiring disciplinary action, and course performance. This study tested whether specific emotional and behavioral risk symptoms measured by a student self-report universal screener administered in the fall can predict the three EWS indicators after controlling for fall behavioral incidents and whether they account for some of the variance in EWS attributed to demographic characteristics. Using data from 3307 middle school students, we found that after accounting for fall disciplinary issues, conduct problems predicted poorer student outcomes, but hyperactivity/inattention was predictive of better course performance. Peer problems predicted lower performance in some courses, while emotional problems predicted better performance as well as fewer behavioral issues. We also found that these symptoms accounted for some of the variance in EWS attributed to race and gender. The results suggest that student self-report universal screening can complement existing EWS measures and potentially identify at-risk students who may not otherwise be identified through traditional EWS indicators. |
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| ISSN: | 0033-3085 1520-6807 |
| DOI: | 10.1002/pits.23515 |
