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Record W4317556605 · doi:10.1371/journal.pone.0267872

Factor structure of Participation Behavioural Questionnaire (PBQ) in patients with hand injuries

2023· article· en· W4317556605 on OpenAlexafffund
Maryam Farzad, Joy C. MacDermid, Mehdi Rassafiani

Bibliographic record

VenuePLoS ONE · 2023
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsSt Joseph's Health CentreMcMaster UniversitySt. Joseph's HospitalWestern University
FundersCanadian Institutes of Health Research
KeywordsExploratory factor analysisConfirmatory factor analysisCronbach's alphaPsychologyClinical psychologyRasch modelRehabilitationPsychometricsMedicineStructural equation modelingPhysical therapyDevelopmental psychologyStatistics

Abstract

fetched live from OpenAlex

BACKGROUND: Participation is considered a critical outcome of successful rehabilitation and should be evaluated. OBJECTIVE: We aimed to evaluate the structural validity of the Participation Behaviour Questionnaire (PBQ) in people with hand injuries. METHODOLOGY: The PBQ contains 30 items that measure participation as conceptualized in the ICF. PBQ was developed with Rasch analysis to measure participation in hand injured. A sample of 404 patients with hand injuries and a mean age of 37 (16.0) participated and was randomly split for exploratory and confirmatory factor analysis (EFA/CFA). RESULTS: Both EFA and CFA confirmed a four factor-solution. These factors were named: Social Participation and Interpersonal Relationships, Autonomy and Role, Subjective Satisfaction with Participation, Recreational, Sport, and Leisure Time. The value of Cronbach's alpha was 0.96 for the total scale and >0.85 for each subscale. CONCLUSIONS: The structural validity of the PBQ was confirmed using both EFA and CFA. The PBQ measures four dimensions of participation.

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)0.004
metaresearch head score (Gemma)0.010
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.160
GPT teacher head0.434
Teacher spread0.274 · 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
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

Citations2
Published2023
Admission routes2
Has abstractyes

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