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Record W1999939332 · doi:10.1080/1091367x.2011.568368

Intra-Rater and Inter-Rater Reliability of the Balance Error Scoring System in Pre-Adolescent School Children

2011· article· en· W1999939332 on OpenAlexaff
Dwayne P. Sheehan, Mark R. Lafave, Larry Katz

Bibliographic record

VenueMeasurement in Physical Education and Exercise Science · 2011
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsUniversity of CalgaryMount Royal University
Fundersnot available
KeywordsInter-rater reliabilityReliability (semiconductor)Balance (ability)PsychologyPhysical educationPhysical therapyDevelopmental psychologyMedicineRating scaleMathematics education

Abstract

fetched live from OpenAlex

This study was designed to test the intra- and inter-rater reliability of the University of North Carolina's Balance Error Scoring System in 9- and 10-year-old children. Additionally, a modified version of the Balance Error Scoring System was tested to determine if it was more sensitive in this population (“raw scores”). Forty-six normally developing fourth-grade students underwent balance testing. Twelve trials measured static and dynamic balance. Four adult raters scored the balance tests to yield Cronbach's alpha scores of reliability. Intra-rater University of North Carolina Balance Error Scoring System α varied from .73 to .94 and .94 to .99 when using the raw scores. The inter-rater University of North Carolina Balance Error Scoring System α of the four raters ranged from .77 to .95 and from .88 to .98 when using the raw scores. The University of North Carolina Balance Error Scoring System shows high reliability when used with fourth-grade elementary school children; however, raw scores may show greater reliability in a population of children.

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)0.002
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 score0.021
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.037
GPT teacher head0.328
Teacher spread0.291 · 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

Citations18
Published2011
Admission routes1
Has abstractyes

Explore more

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