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Record W2290608060 · doi:10.1177/0008417414556884

The development of the Pediatric Motivation Scale for rehabilitation

2014· article· en· W2290608060 on OpenAlexvenueno aff
Sandy K. Tatla, Tal Jarus, Naznin Virji‐Babul, Liisa Holsti

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2014
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsCronbach's alphaRehabilitationReliability (semiconductor)PsychologyPsychometricsInternal consistencyScale (ratio)Psychometric testingConvergent validityClinical psychologyTest (biology)Physical therapyPhysical medicine and rehabilitationMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Clinicians recognize that client motivation is key to optimizing rehabilitation; however, they are limited in its assessment by a paucity of motivation measures. PURPOSE: This paper presents the preliminary psychometrics of the Pediatric Motivation Scale (PMOT) designed to measure motivation from a child's perspective. METHOD: Content validity of the PMOT was measured through expert feedback (n = 12), and field testing ocurred with 41 children, 21 in rehabilitation and 20 healthy. Pearson product-moment correlations were used to analyze subscale correlations, test-retest reliability, and convergent validity with the Pediatric Volitional Questionnaire (PVQ). Internal consistency was measured using Cronbach's alpha. FINDINGS: Preliminary psychometric evaluation indicates strong internal consistency for PMOT total (α = .96) and subscales (α = .79-.91). The PMOT and PVQ moderately correlated in the rehabilitation subsample (r = .71, p < .01); no correlation was found in the healthy subsample (p > .05). Test-retest reliability was excellent (r = .97). IMPLICATIONS: This study provides preliminary psychometric evidence of the PMOT for children undergoing rehabilitation. These pilot findings warrant ongoing scale development.

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)0.000
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 score0.081
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.072
GPT teacher head0.346
Teacher spread0.274 · 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

Citations33
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Occupational TherapySame topicMotivation and Self-Concept in SportsFrench-language works237,207