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Record W4360609475 · doi:10.1371/journal.pone.0281584

Psychometric properties of the International Society of Wheelchair Professionals’ basic manual wheelchair-service-provision knowledge Test Version 1 and development of Version 2

2023· review· en· W4360609475 on OpenAlexaff
Yohali Burrola-Mendez, R. Lee Kirby, Paula W. Rushton, Silvana Contepomi, Amira Tawashy, Padmaja Kankipati, Norma Jiménez García, Lauren Terhorst, Mary Goldberg, Jonathan Pearlman

Bibliographic record

VenuePLoS ONE · 2023
Typereview
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsDalhousie UniversityUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersConsejo Nacional de Ciencia y TecnologíaUnited States Agency for International Development
KeywordsContent validityWheelchairTest (biology)Likert scaleCronbach's alphaCLARITYReliability (semiconductor)Applied psychologyScale (ratio)Classical test theoryPsychologyComputer scienceMedicineMedical educationPsychometricsItem response theoryClinical psychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Valid and reliable scores from measurement tools to test competency in basic manual wheelchair-service-provision are needed to promote good practice and support capacity building. The International Society of Wheelchair Professionals' (ISWP) Basic Test Version 1 in English, launched in 2015, is the most frequently used outcome measure tool to test basic manual wheelchair-service-provision knowledge and is part of an international certification process. Despite the wide acceptance and use of the test, its psychometric properties have not yet been established. The objectives of this study were 1) to evaluate the test's psychometric properties, 2) to develop the test's Version 2, and 3) to evaluate the content validity of the new version. METHODS: For Objective 1, methods from the Classical Test Theory were used to obtain items' difficulty, item discrimination index and domains' reliability. For Objective 2, a team of experts in wheelchair service delivery and education conducted a systematic qualitative review of the questions' text and answers and updated them using evidence-based guidelines. For Objective 3, an external team reviewed the clarity, relevance and domain allocation of the developed items using a 4-point Likert scale. Descriptive statistics were used to describe and characterize the results for each objective. Item-content (I-CVI) and Scale-content (S-CVI) validity indexes were calculated to compute content validity. RESULTS: For Objective 1, all domains in the test were below the threshold for acceptable internal consistency reliability; 80% of the total test pool (116 items from the total pool of 145) did not meet the thresholds for item difficulty and index of discrimination suggested in the literature. Of the items in the Test, 78% could be responded to intuitively and 66% did not distinguish between test-takers who were knowledgeable in the content area and those who were not. For Objective 2, experts found concerns such as items being grouped in the wrong domain, being repeated, not using person-first language, and using terms inconsistently. Thirty-four (23.4%) items were dropped and 111 (76.5%) were updated. In addition, 61 new items were developed. Members re-categorized the items and proposed a new classification of subdomains. For Objective 3, good agreement between subject-matter experts was found; the S-CVI calculated using the I-CVIs related to item clarity was 84% while using the I-CVIs related to item relevance was 98%. Only 7 items (4.1%) were deemed to be in the wrong domain and 4 items (2.3%) were considered irrelevant and dropped. CONCLUSION: The psychometric evidence in support of ISWP Basic Test Version 1 in English is suboptimal. A new set of items developed by experts in the field has shown excellent content validity. Ongoing assessments will be needed as ISWP Basic Test Version 2 is implemented and monitored.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.044
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.241
GPT teacher head0.393
Teacher spread0.152 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview

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

Citations2
Published2023
Admission routes1
Has abstractyes

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