Factor Validation of a Fidelity of Implementation Measure for Social Behavior Systems
Bibliographic record
Abstract
Assessing fidelity of implementation of school-based interventions is a critical factor in successful implementation and sustainability. The Tiered Fidelity Inventory (TFI) was developed as a comprehensive measure of all three tiers of School-Wide Positive Behavioral Interventions and Supports (SWPBIS) and is intended to measure the extent to which the core features of SWPBIS are implemented with fidelity. The purpose of this study was to assess the extent to which the TFI can be used as one measure of all three tiers, three separate measures of individual tiers, or as a more granular level of fidelity that measures implementation on 10 subscales across the tiers. A confirmatory factor analysis was conducted to validate the factor structure of the TFI. Results indicate that the TFI is a valid measure of fidelity of implementation of SWPBIS and can be used to measure implementation by subscales, tiers, and as a comprehensive assessment of all three tiers.
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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 | 0.027 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".