Perceptions of Contextual Features Related to Implementation and Sustainability of School-Wide Positive Behavior Support
Bibliographic record
Abstract
The purpose of this study was to assess the perceived importance of specific contextual variables for initial implementation and sustainability of School-Wide Positive Behavior Support (SWPBS). A large, national sample of 257 school team members completed the School-Wide Universal Behavior Sustainability Index: School Teams, a research-validated measure of variables influencing sustainability of schoolwide behavior interventions. Quantitative and qualitative analyses were used to assess perceptions of the most and least important variables for initial implementation and sustainability, as well as variables perceived as more important to sustainability than initial implementation. Across quantitative and qualitative analyses, results indicated that administrator support and school team functioning were rated as the most important features for both initial implementation and sustainability, whereas barriers to SWPBS were rated as relatively less important. Staff support, integration into typical practice, and parent involvement were rated as significantly more important to sustainability than initial implementation. These results were consistent across types of raters and schools. Implications for enhancing implementation and sustainability of SWPBS are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".