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Reliability and construct validity studies of an obstacle course assessment of wheelchair user performance

2005· article· en· W2047741418 on OpenAlexaff
Johanne Desrosiers, Claude Vincent, Sylvie Nadeau

Bibliographic record

VenueInternational Journal of Rehabilitation Research · 2005
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversité LavalUniversité de MontréalUniversité de SherbrookeCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsIntraclass correlationReliability (semiconductor)WheelchairConstruct validityPsychologyInter-rater reliabilityConstruct (python library)Computer scienceReliability engineeringStatisticsPhysical medicine and rehabilitationMathematicsPsychometricsEngineeringMedicineRating scaleDevelopmental psychology

Abstract

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The objective of this study is to evaluate the reliability and construct validity of an obstacle course assessment of wheelchair user performance (OCAWUP). Seventeen experienced wheelchair users using three different propulsion methods (two hands, one hand and one foot or motorized wheelchair) were assessed twice on the 10 obstacles of the OCAWUP. To evaluate reliability, time (in seconds) and degree of ease (DE) in overcoming obstacles (four-level scale) were assessed by three occupational therapists. Construct validity was assessed by verifying whether the OCAWUP's global score of ease (GSE) varied with wheelchair propulsion methods and the functional independence measure (FIM). Intraclass correlation coefficients calculated for reliability of time and GSE were up to 0.74 for test-retest reliability and up to 0.97 for interrater reliability. Cohen's kappa coefficients calculated for DE reliabilities varied from 0.09 to 1.0 with degrees of association up to 65%. A significant difference (P<or =0.01) in GSE scores is shown between propulsion methods. A high significant correlation (rs=0.84, P< or =0.05) was found between GSE and scores of FIM items associated with mobility. Reliability of time and GSE is substantial or better. Reliability of DE is not as good, with a few items indicating poor reliability. OCAWUP's construct validity is good.

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)0.007
metaresearch head score (Gemma)0.005
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 score0.063
Threshold uncertainty score0.627

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.135
GPT teacher head0.544
Teacher spread0.409 · 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

Citations22
Published2005
Admission routes1
Has abstractyes

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