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Commisso, Colleen E.; Gaier, Kelsey; Kern, Lee; Majeika, Caitlyn E.; Van Camp, Alyssa M.; Wehby, Joseph H.; Kelly, Samantha – TEACHING Exceptional Children, 2019
Multi-tiered systems of support are frequently used in school settings because of their efficiency and effectiveness (McIntosh & Goodman, 2016). The rationale for multi-tiered systems of support is to provide early and systematic intervention to all students with increasing intensity of intervention provided as needed (Sugai & Horner,…
Descriptors: Intervention, Positive Behavior Supports, Outcomes of Treatment, Behavior Problems
Moulton, Sara; von der Embse, Nathaniel; Kilgus, Stephen; Drymond, Mikayla – School Psychology, 2019
This study used item response theory (IRT) to derive sets of maximally efficient items (SMI) for a brief behavior rating scale (BBRS) from a common universal screening tool (i.e., the Social, Academic, and Emotional Behavior Risk Screener--Student Rating Scale [mySAEBRS]). We also evaluated the change sensitivity of these items for potential use…
Descriptors: Progress Monitoring, Behavior Rating Scales, Elementary School Students, Secondary School Students
Weber, Meredith A.; House Rich, Sara E.; Duhon, Gary J. – Beyond Behavior, 2019
Check-in/check-out (CICO) is a well-established Tier 2 intervention to address at-risk student behavior problems. Despite its widespread empirical support and applied use, CICO can be taxing for teachers to implement when there is insufficient time available and teacher self-efficacy in addressing behavior problems is low. Evaluation of CICO is…
Descriptors: At Risk Students, Student Behavior, Behavior Problems, Program Effectiveness
Bruhn, Allison L.; McDaniel, Sara C.; Rila, Ashley; Estrapala, Sara – Beyond Behavior, 2018
Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…
Descriptors: Progress Monitoring, Behavior Problems, Student Behavior, At Risk Students
Faria, Ann-Marie; Sorensen, Nicholas; Heppen, Jessica; Bowdon, Jill; Eisner, Ryan – Society for Research on Educational Effectiveness, 2018
The national high school graduation rate reached its highest level in U.S. history--82 percent--during the 2013-14 school year (Kena et al., 2016)--but dropout remains a persistent problem in the Midwest and nationally. Early warning systems that use research-based warning signs to identify students at risk of dropping out have emerged as one…
Descriptors: Progress Monitoring, At Risk Students, Graduation Rate, Program Effectiveness
Mellado De La Cruz, Veronica; Al Otaiba, Stephanie; Hsiao, Yu-Yu; Clemens, Nathan H.; Jones, Fracesca G.; Rivas, Brenna K.; Brewer, Emily A.; Hagan-Burke, Shanna; Simmons, Leslie E. – Grantee Submission, 2019
The purpose of the study was to assess early literacy skills and examine the presence and stability of challenging behaviors across the critical threshold of the kindergarten school year. Students' (n = 337) literacy performance (letter sound fluency, word attack, and phonological awareness) and challenging behaviors (teacher ratings of…
Descriptors: Emergent Literacy, Kindergarten, Student Behavior, Behavior Problems
McDaniel, Sara C.; Bruhn, Allison L.; Mitchell, Barbara S. – Preventing School Failure, 2017
Students requiring Tier 2 behavioral supports frequently display behavioral deficits in multiple domains (e.g., emotional symptoms and peer problems). The Tier 2 framework developed by McDaniel, Bruhn, & Mitchell (2015a) is a responsive structure for identifying and intervening at Tier 2. This process is described with a practical case example…
Descriptors: Behavior Problems, Middle School Students, Case Studies, At Risk Students
Rumberger, Russell W.; Addis, Howard; Allensworth, Elaine; Balfanz, Robert; Bruch, Julie; Dillon, Erin; Duardo, Debra; Dynarski, Mark; Furgeson, Joshua; Jayanthi, Madhavi; Newman-Gonchar, Rebecca; Place, Kate; Tuttle, Christina – What Works Clearinghouse, 2017
The goal of this practice guide is to offer educators specific, evidence-based recommendations that address the challenges of preventing dropout in secondary schools. This guide synthesizes the best publicly available research and shares practices that are supported by evidence. It is intended to be practical and easy for teachers and school…
Descriptors: Dropout Prevention, Secondary School Students, Intervention, At Risk Students
Mac Iver, Martha Abele; Sheldon, Steven; Naeger, Sarah; Clark, Emily – Education and Urban Society, 2017
This quasi-experimental study examines the impact of a mentoring program for low-income and minority middle and high school students displaying early warning indicators of dropping out on attendance, behavior problems, and course passing. The study was conducted over 3 years in five districts throughout the country and used a comparison group…
Descriptors: Mentors, Quasiexperimental Design, Low Income Students, Minority Group Students
Whisman, Andy – West Virginia Department of Education, 2015
The West Virginia Board of Education (WVBE), recognizing the need for safe and supportive schools, revised its policy regarding student conduct. The result, "Expected Behaviors in Safe and Supportive Schools" (WVBE Policy 4373, effective July 1, 2012), put forth the behaviors expected of West Virginia's students; the rights and…
Descriptors: School Policy, Student Behavior, Student Rights, Behavior Problems
What Works Clearinghouse, 2015
"Check & Connect" aims to help students stay in school by continually monitoring school performance and providing individualized attention through mentoring, case management, and other supports. In 2006, the WWC published a systematic review of all the studies that examined the impact of "Check & Connect" on high school…
Descriptors: Academic Persistence, Mentors, High School Students, Learning Disabilities