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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".