Linking Language Skills and Social Competence in Children With Developmental Language Disorder: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
PURPOSE: This systematic review and meta-analysis aimed to examine the association between language skills and social competence in children with developmental language disorder (DLD) and to assess the potential moderators of these associations. METHOD: The study was reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies were identified according to a search strategy carried out in PsycINFO, MEDLINE, Scopus, Linguistics and Language Behavior Abstracts, and ProQuest Dissertations and Theses Global databases. A total of 15,069 articles were independently double screened in the title and abstract phases, with 250 articles proceeding to a full-text review. Inclusion criteria comprised (a) a sample of children with DLD between the ages of 2 and 12 years, (b) a language measure, (c) a social competence measure, and (d) an appropriate statistic. Exclusion criteria were (a) intervention studies with no baseline data, (b) language measures based on preverbal abilities, (c) samples of children with DLD and other clinical conditions, and (d) studies without useable statistics. Data were extracted from 21 studies that met the eligibility criteria for the meta-analysis. RESULTS: < .001), which was small in magnitude. The effect sizes were stronger in studies that assessed overall language skills than in those that specifically measured receptive or expressive language skills. CONCLUSIONS: Findings from this study support a subtle and reliable relationship between language and social competence in children with DLD. The implications and limitations of this study and its future directions are also discussed. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.24514564.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".