Meta‐Analysis of Soft Skills Interventions for Transition‐Age Autistic Individuals
Bibliographic record
Abstract
There has been growing interest in developing and evaluating soft skills interventions for transition-age autistic individuals. While many interventions demonstrated effectiveness in improving social competence, there is limited evidence on the pooled effectiveness of these interventions. In response to the research gap, this study aimed to investigate the effectiveness of soft skills interventions in enhancing social competence among transition-age autistic individuals. A total of 18 articles consisting of eight randomized controlled trials and 10 pre- and post-intervention studies were identified after a systematic review, and the effectiveness of these interventions was examined using the meta package on R 4.4.1. The analysis revealed overall positive effects of soft skills interventions in social adjustment (g = 0.53, p < 0.0001), social performance (g = 0.87, p < 0.001), and social skills (g = 0.53, p < 0.0001) among the autistic individuals. Moderation analyses indicated no significant impact of sample and intervention characteristics on soft skills outcomes. This meta-analysis highlights the importance of soft skills interventions for transition-age autistic individuals in preparing for successful careers.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.009 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 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".