Peer-mediated intervention for pre-schoolers with ASD: Effects on responses and initiations
Bibliographic record
Abstract
PURPOSE: This study investigates the effects of peer-mediated intervention on the responses and initiations of pre-schoolers (aged 4;2-5;1) with Autism Spectrum Disorder (ASD). METHOD: A speech-language pathologist and three early childhood educators trained typically-developing peers to facilitate responses and initiations from three pre-schoolers with ASD during playtime. A multiple baseline design across subjects was used to determine the effects of the intervention. Play sessions between the children with ASD and their typically-developing peers were videotaped. Videotapes were analysed using an interval coding system in order to collect information regarding responses and initiations. RESULT: All three target children demonstrated improvements in their responses and initiations to their peers during intervention. Moreover, they maintained these gains 4 weeks later and generalized their response and initiation skills to an untrained peer. Social validity data, obtained using unbiased, independent, lay, observers to rate the children's performance provided external validation of an observable treatment effect (i.e. increased responses and initiations) following intervention. CONCLUSION: The results suggest that training typically-developing peers to implement intervention strategies using the collaboration between a speech-language pathologist and early childhood educators may be an effective model of service delivery to enhance peer interaction skills of pre-schoolers with ASD.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".