Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Author
Hoselton, Robert | 2 |
McIntosh, Kent | 2 |
Mercer, Sterett H. | 2 |
Nese, Rhonda N. T. | 2 |
Strickland-Cohen, M. Kathleen | 2 |
Hillman, Nicholas W. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Information Analyses | 2 |
Education Level
Elementary Secondary Education | 2 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Predictors of Sustained Implementation of School-Wide Positive Behavioral Interventions and Supports
McIntosh, Kent; Mercer, Sterett H.; Nese, Rhonda N. T.; Strickland-Cohen, M. Kathleen; Hoselton, Robert – Journal of Positive Behavior Interventions, 2016
In this analysis of extant data from 3,011 schools implementing school-wide positive behavioral interventions and supports (SWPBIS) across multiple years, we assessed the predictive power of various school characteristics and speed of initial implementation on sustained fidelity of implementation of SWPBIS at 1, 3, and 5 years. In addition, we…
Descriptors: Predictor Variables, Sustainability, Program Implementation, Positive Behavior Supports
Predictors of Sustained Implementation of School-Wide Positive Behavioral Interventions and Supports
McIntosh, Kent; Mercer, Sterett H.; Nese, Rhonda N. T.; Strickland-Cohen, M. Kathleen; Hoselton, Robert – Grantee Submission, 2016
In this analysis of extant data from 3,011 schools implementing school-wide positive behavioral interventions and supports (SWPBIS) across multiple years, we assessed the predictive power of various school characteristics and speed of initial implementation on sustained fidelity of implementation of SWPBIS at 1, 3, and 5 years. In addition, we…
Descriptors: Predictor Variables, Sustainability, Positive Behavior Supports, Intervention
Hillman, Nicholas W. – Educational Policy, 2015
This study examines the institutional factors associated with student loan default. When a college has more than 30% of its students default on their loans, then the institution faces federal sanctions that could make them ineligible from participating in the federal student loan program. Using Integrated Postsecondary Education Data System…
Descriptors: Cohort Analysis, Probability, Prediction, Federal Regulation