The <i>Social ABCs</i> caregiver‐mediated intervention for toddlers with autism spectrum disorder: Feasibility, acceptability, and evidence of promise from a multisite study
Bibliographic record
Abstract
The Social ABCs is a parent-mediated intervention for toddlers with suspected or confirmed autism spectrum disorder (ASD). We undertook a multi-site pilot study to evaluate feasibility and acceptability, and to identify trends in child and parent behavior to inform future research using a larger sample and a rigorous research design. The program involved 12 weeks of parent coaching, followed by 12 weeks' implementation, and 3-month follow-up assessment for 20 parent-toddler dyads (age range: 12-32 months). Parents successfully learned the techniques and rated the intervention as highly acceptable. Paired samples t-tests revealed significant gains in children's functional communication (responsivity, initiations), and language gains (age-equivalents on standardized measures) commensurate with typical developmental rates. Significant increases in shared smiling and social orienting also emerged, but were attenuated at follow-up. Parents' fidelity was positively associated with child responsivity. Training parents as mediators is a feasible and highly acceptable approach that provides a potentially cost-effective opportunity for intensive intervention at a very young age at the first signs of ASD risk. Child and parent gains in several key variables demonstrate the promise of this intervention. Autism Res 2016, 9: 899-912. © 2015 The Authors Autism Research published by Wiley Periodicals, Inc. on behalf of International Society for Autism Research.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".