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Record W3138016394 · doi:10.1017/s1355617721000175

Pediatric Co-Norms for Finger Tapping, Grip Strength, and Grooved Pegboard in a Community Sample

2021· article· en· W3138016394 on OpenAlexaff

Bibliographic record

VenueJournal of the International Neuropsychological Society · 2021
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsSample (material)Hand strengthMotor skillLarge sampleSample size determinationFinger tapping

Abstract

fetched live from OpenAlex

OBJECTIVE: Motor tests, including Finger-Tapping Test, Grooved Pegboard Test, and Grip Strength Test, are frequently used by neuropsychologists when assessing pediatric populations. Many of the norms available for these measures are outdated, have not been co-normed, and have samples with limited diversity. This study aims to provide updated, co-norms for three commonly used motor tasks with a diverse population. METHOD: Participants (n = 476; age range 6-14) were recruited from community settings to complete each of the three motor tests. RESULTS: Results demonstrate generally improved performance across ages with no significant difference between performance of males and females on the Grooved Pegboard Test or the Finger Tapping Test. The only significant findings were on the Grip Strength Test where 12-14-year-old boys demonstrated stronger performance on the dominant hand. CONCLUSION: This study provides updated and co-normed data on frequently used motor tasks with a diverse pediatric sample, which are useful for clinicians.

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 score0.236
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.319
Teacher spread0.284 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

Explore more

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