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Forrow, Lauren; Starling, Jennifer; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2023
The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
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Regional Educational Laboratory Mid-Atlantic, 2023
This Snapshot highlights key findings from a study that used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI) or Additional Targeted Support and Improvement (ATSI). The…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
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Regional Educational Laboratory Mid-Atlantic, 2023
The "Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools" study used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI)…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
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Nelson, Peter M.; Van Norman, Ethan R.; Parker, David C.; Cormier, Damien C. – Journal of Applied School Psychology, 2019
Data from a large-scale math intervention program were used to evaluate the degree to which implementation fidelity (IF) and interventionist content knowledge were associated with student outcomes. Data were available for 33 interventionists serving 658 students in Grades 4-6 across one school year. A series of multilevel models were fit to the…
Descriptors: Intervention, Program Implementation, Fidelity, Pedagogical Content Knowledge
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Hill, Julie C.; Lynne-Landsman, Sarah D.; Graber, Julia A.; Johnson, Kelly J. – Health Education Journal, 2016
Objective: Young people in urban areas are often the focus of pregnancy and sexually transmitted infection (STI) prevention programmes because of their high risk of unwanted pregnancy and contracting an STI. Young people in rural areas are far less studied but also have a high risk of similar outcomes. This study evaluates Giving Our Girls…
Descriptors: Females, Middle School Students, At Risk Students, Pregnancy
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Villarreal, Victor; Gonzalez, Jorge E. – International Journal of School & Educational Psychology, 2016
The authors investigated whether participation in school-based extracurricular activities would predict social and behavioral outcomes (school membership, peer prosocial orientation, and prosocial behavior) associated with school social capital in a group of Hispanic middle school students from the United States of America. Results of hierarchical…
Descriptors: Extracurricular Activities, Student Participation, Hispanic American Students, Social Capital
Brandy R. Maynard; Elizabeth K. Kjellstrand; Aaron M. Thompson – Grantee Submission, 2014
Objectives: This study examined the effects of Check & Connect (C&C) on the attendance, behavior, and academic outcomes of at-risk youth in a field-based effectiveness trial. Method: A multisite randomized block design was used, wherein 260 primarily Hispanic (89%) and economically disadvantaged (74%) students were randomized to treatment…
Descriptors: Middle School Students, High School Students, Attendance, Student Behavior
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Brandy R. Maynard; Elizabeth K. Kjellstrand; Aaron M. Thompson – Research on Social Work Practice, 2014
Objectives: This study examined the effects of Check & Connect (C&C) on the attendance, behavior, and academic outcomes of at-risk youth in a field-based effectiveness trial. Method: A multisite randomized block design was used, wherein 260 primarily Hispanic (89%) and economically disadvantaged (74%) students were randomized to treatment…
Descriptors: Middle School Students, High School Students, Attendance, Student Behavior
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Mac Iver, Martha Abele; Mac Iver, Douglas J. – Society for Research on Educational Effectiveness, 2014
Attendance is probably the most fundamental behavioral indicator of student engagement with school. Though many students fall off-track to success for the first time in ninth grade, poor attendance patterns often begin increasing in middle school and become worse in high school. Missing school during the secondary grades can often be traced to low…
Descriptors: Attendance Patterns, Learner Engagement, Urban Schools, Middle School Students
Anderson, Daniel; Saven, Jessica L.; Irvin, P. Shawn; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2014
Schools and districts across the United States have adopted response to intervention (RTI) as a means for both identifying and intervening with students at risk for low achievement. The validity of RTI rests largely upon teachers making appropriate instructional decisions based on students' responses to a given practice. This study was designed to…
Descriptors: Mathematics Achievement, Educational Practices, Teaching Methods, Teaching Styles
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Roman, Caterina G.; Taylor, Caitlin J. – Journal of School Health, 2013
Background: This study integrated criminological and public health perspectives to examine the influence of bullying victimization and the school environment on physical activity (PA). Methods: We used a weighted sample of 7786 US middle school students surveyed as part of the Health Behavior in School-Aged Children study to conduct a multilevel…
Descriptors: Physical Activities, Educational Environment, Bullying, Criminology
Maloney, Catherine; Sheehan, Daniel; Rainey, Katie – Texas Center for Educational Research, 2010
In 2007, the Texas Legislature (80th Texas Legislature, Regular Session, 2007) authorized the creation of the Texas Rural Technology (R-Tech) Pilot program, which provides $8 million in funding to support rural districts in implementing technology-based supplemental education programs. In order to be eligible for funding, districts must have…
Descriptors: Online Surveys, Teacher Surveys, Student Surveys, Facilitators (Individuals)