Connecting Language Abilities and Social Competence in Children: A Meta-Analytic Review
Bibliographic record
Abstract
Research examining relations between language skills and social competence has yielded mixed findings. Three meta-analyses investigated links between language skills (overall, receptive, and expressive) and social competence in 2- to 12-year-old children. Data from 130 studies representing 62,120 children (M age at language assessment = 4.70 years; 52% male), predominantly from North America and Europe, and identifying as White (33%), Black (17%), Hispanic (14%), Asian (2%), Mixed (4%), Indigenous (1%), and Other/Unspecified (29%) were analyzed. Analyses indicated significant medium-sized associations between social competence and: overall language (r = 0.27), receptive language (r = 0.23), and expressive language (r = 0.20). Exploratory analyses indicated significant moderating effects of study design, publication status, social type, and geographic region. Results and implications are discussed.
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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 | 0.007 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.011 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".