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Record W4406465309 · doi:10.1080/10400435.2024.2443838

International Society of Wheelchair Professionals’ Basic Manual Wheelchair Service Provision Knowledge Test Version 2: Assessment of preliminary psychometric evidence

2025· article· en· W4406465309 on OpenAlexaff
Yohali Burrola-Mendez, Mary Goldberg, Charles J. George, R. Lee Kirby, Paula W. Rushton, Lauren Terhorst, Jonathan Pearlman

Bibliographic record

VenueAssistive Technology · 2025
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsDalhousie UniversityUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsWheelchairTest (biology)Applied psychologyService (business)PsychologyManual wheelchairPhysical medicine and rehabilitationMedical educationMedicinePhysical therapyComputer scienceBusinessWorld Wide Web

Abstract

fetched live from OpenAlex

Valid and reliable assessment tools to test wheelchair service personnel/provider knowledge are needed to support good practice. The International Society of Wheelchair Professionals’ Basic Manual Wheelchair Service Provision Test (Version 1) has been widely used across contexts and settings to assess the knowledge of personnel who provide manual wheelchair services. Test Version 2 has been recently developed according to current evidence. The objectives of this study were to assess the internal consistency reliability and construct validity for the Test Version 2. A convenience sample of 156 test-takers completed an online test with 170 multiple-choice questions. Internal consistency was measured using Cronbach’s alpha, which ranged from 0.58 to 0.91 across different domains. Most questions (55.9%) were classified as “easy,” while 28.2% were “medium” difficulty. Regression analysis showed that test-taker characteristics, particularly years of experience, explained nearly half of the variation in test scores (R2 = 0.47). The findings provide preliminary evidence supporting the test’s reliability and construct validity.

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 score0.200
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.041
GPT teacher head0.441
Teacher spread0.400 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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