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Record W2789998266 · doi:10.1177/1087054718756196

Are Parent- and Teacher-Reported Executive Function Difficulties Associated With Parenting Stress for Children Diagnosed With ADHD?

2018· article· en· W2789998266 on OpenAlexafffund
Alan McLuckie, Ashley L. Landers, Melissa Rowbotham, Jeff Landine, Michael Schwartz, David Ng

Bibliographic record

VenueJournal of Attention Disorders · 2018
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsQueen's UniversityThe Scarborough HospitalUniversity of New BrunswickUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyDevelopmental psychologyExecutive functionsStress (linguistics)Clinical psychologyCognitionPsychiatry

Abstract

fetched live from OpenAlex

Objective: To examine the relationship between parenting stress and parent- and teacher-reported executive function difficulties (EFDs) for childhood ADHD. Method: A secondary analysis using linear regression was conducted on parent- and teacher-completed Behavior Rating Inventory of Executive Function and Parenting Stress Indexes for 5- to 12-year-olds ( n = 243) with ADHD. Results: The linear combination of teacher- and parent-reported EFDs accounted for 49% of the variance in child-related parenting stress. Teacher-reported school-based EFDs were relatively inconsequential, having accounted for only 3% of this variance. This stress is best explained by EFDs with emotional control in the school environment and parent-reported EFDs with emotional control, inhibit, monitor, and shift. Conclusion: Parent-reported EFDs, and less so school-based EFDs, are related to parenting stress, but only in regard to EFDs likely underpinning behavioral outbursts and those likely underpinning the daily hassles of providing specialized care to children with ADHD.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.294
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), 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

Citations14
Published2018
Admission routes2
Has abstractyes

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Same venueJournal of Attention DisordersSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207