MétaCan
Menu
Back to cohort
Record W3080756895 · doi:10.1002/aur.2350

The Role of Executive Functioning in Predicting Social Competence in Children with and without Autism Spectrum Disorder

2020· article· en· W3080756895 on OpenAlexafffund
Vanessa C. Fong, Grace Iarocci

Bibliographic record

VenueAutism Research · 2020
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAutism spectrum disorderPsychologySocial competenceAutismPsychological interventionSocial skillsDevelopmental psychologyExecutive functionsCompetence (human resources)Clinical psychologyCognitionSocial cognitionTheory of mindRating scaleSocial changePsychiatrySocial psychology

Abstract

fetched live from OpenAlex

All children with autism spectrum disorder (ASD) experience social difficulties but they differ with regard to the type and severity of their challenges. Potentially powerful interventions targeting social skills in children with ASD may have limited effectiveness if they are not tailored to the child's specific needs. One factor that may influence social competence is executive functioning (EF). EF may impact social competence by facilitating higher-order strategies such as emotional and cognitive regulation which are necessary for social interactions. Participants included 132 children and adolescents, aged 7-13, including 77 with ASD (M = 10.11, SD = 1.94), and 55 without ASD (M = 9.54, SD = 1.67). Caregivers completed the Behavior Rating Inventory of Executive Functioning, Version 2 (BRIEF-2) Parent Form, assessing everyday EF skills, and the Multidimensional Social Competence Scale (MSCS). Hierarchical multiple regression analyses were conducted separately for the group without ASD and the group with ASD, with MSCS entered as the dependent variables and EF indices and scales of the BRIEF-2 as the main predictor variables. EF deficits in emotional control predicted poor emotion regulation for both children with and without ASD. For the group without ASD, better emotional control and initiation skills predicted empathic concern and social knowledge, respectively. Challenges in self-monitoring significantly predicted difficulties with social inferencing and social knowledge for children with ASD. The findings highlight the importance of targeting specific EF skills that contribute to various aspects of social competence to increase the effectiveness of interventions for children with ASD. Autism Res 2020, 13: 1856-1866. © 2020 International Society for Autism Research and Wiley Periodicals LLC LAY SUMMARY: We examined whether parents' ratings of their children's higher-order thinking skills (e.g., paying attention, organizing and planning, initiating tasks, regulating emotions, self-monitoring) predicted social competence among children with and without autism spectrum disorder (ASD). For children without ASD, emotional control and initiation skills were strongly linked to their displays of empathy and social knowledge, respectively. For children with ASD, their abilities to be aware of their own behaviors and its impact on others were strongly related to their ability to interpret social cues and their social knowledge. For both groups, the ability to regulate their emotions were important predictors of their ability to modulate their emotions in social contexts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.310
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations53
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueAutism ResearchSame topicAutism Spectrum Disorder ResearchFrench-language works237,207