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Record W2158594144 · doi:10.3109/01942638.2012.672551

Reliability of the Motor Learning Strategy Rating Instrument for Children and Youth with Acquired Brain Injury

2012· article· en· W2158594144 on OpenAlexaff
Trishna Kamath, Megan Pfeifer, Priyanka Banerjee-Guénette, Theresa Hunter, Julia Ito, Nancy M. Salbach, F. Virginia Wright, Danielle Levac

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2012
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsIntraclass correlationAcquired brain injuryReliability (semiconductor)Inter-rater reliabilityPhysical therapyPsychologyIntra-rater reliabilityGross motor skillConfidence intervalPhysical medicine and rehabilitationMotor skillMedicineRating scaleRehabilitationPsychometricsClinical psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate reliability and feasibility of the Motor Learning Strategy Rating Instrument (MLSRI) in children with acquired brain injury (ABI). The MLSRI quantifies the extent to which motor learning strategies (MLS) are used within physiotherapy (PT) interventions. METHODS: PT sessions conducted by ABI team physiotherapists with a convenience sample of children with ABI (4-18 years) were videotaped and independently scored later by two raters trained in MLSRI use. Intraclass correlation coefficients (ICCs) and 95% confidence intervals (CIs) estimated intra- and inter-rater reliability. RESULTS: Eighteen PT sessions were evaluated. Intra- and inter-rater reliability ICCs for total score were 0.86 (95% CI: 0.66-0.94) and 0.50 (95% CI: 0.08-0.78), respectively. MLSRI category ICCs were 0.56-0.86 (intra-rater) and 0.16-0.84 (inter-rater). CONCLUSIONS: Intra-rater reliability of MSLRI total score was excellent. Moderate inter-rater reliability may partially be due to inconsistent item interpretation between raters. Revisions and further reliability testing are required before recommending the MLSRI for clinical and research use.

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)0.000
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 score0.006
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.027
GPT teacher head0.307
Teacher spread0.280 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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