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Record W2156061479 · doi:10.3109/01942638.2011.565864

Goal-Orientated Group Intervention for Children with Developmental Coordination Disorder

2011· article· en· W2156061479 on OpenAlexaboutno aff
Carolyn Dunford

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2011
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)Intervention (counseling)PsychologyPhysical therapyMovement assessmentGoal Attainment ScalingOccupational therapyPsychological interventionClinical psychologyPhysical medicine and rehabilitationMotor skillMedicineDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

This study measures the effectiveness of a goal-orientated group intervention using concentrated practice schedules for children with developmental coordination disorder (DCD). The study design is repeated measures. The sample comprises eight children with DCD, aged 7-11 years. Outcome measures are the Movement Assessment Battery for Children (MABC), the Canadian Occupational Performance Measure (COPM), Harter's Scale of Perceived Competence/Harter and Pike's Pictorial Scale of Perceived Competence, and clinical observations. The children set goals with the perceived efficacy and goal setting system with parents/caregivers input. The intervention used a goal-oriented approach combining motor learning and cognitive strategies consisting of eight 50-min sessions over 2 weeks. The results show significant improvements in the COPM and MABC scores following intervention but no changes in Harter's scores. Fifty-six goals were identified with 34 met totally, 12 met partially, and 10 remained unmet. A goal-oriented group intervention shows potential as an effective intervention method.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.309
Teacher spread0.282 · 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 designNon-randomized trial
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

Citations47
Published2011
Admission routes1
Has abstractyes

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