The GO4KIDDS School Satisfaction Scale
Bibliographic record
Abstract
BACKGROUND: School experience is an important part of the life of children with developmental disabilities (DD) and their families. Research suggests that parents of children vary in their level of satisfaction with their child's school, but methodology and results have varied and no consistent reliable measure of school satisfaction exists. This paper presents a new brief measure of school satisfaction along with preliminary information on its psychometric properties. METHOD: Parents (n = 185) of children with moderate to severe DD completed a longer questionnaire that included the 9-item GO4KIDDS School Satisfaction Scale. RESULTS: The GO4KIDDS School Satisfaction Scale demonstrates high internal consistency reliability (α = 0.93), good item-total correlations, and strong correlations with a single-item rating of school satisfaction. CONCLUSIONS: Results support reliability and validity, making the proposed scale valuable for survey research investigating school satisfaction among parents of children with DD.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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; both teacher heads agree on what is shown here.
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".