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Record W2903051099 · doi:10.1177/1073191118816435

Measurement Invariance of the WHODAS 2.0 Across Youth With and Without Physical or Mental Conditions

2018· article· en· W2903051099 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAssessment · 2018
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyMeasurement invarianceClinical psychologyMental healthCognitionConfirmatory factor analysisDevelopmental psychologySample (material)Test (biology)PsychiatryStructural equation modelingStatistics

Abstract

fetched live from OpenAlex

Initial evidence suggests that the WHO Disability Assessment Schedule (WHODAS 2.0) is valid and reliable in general youth populations; however, its psychometric properties in specific subgroups are less established. The primary objective was to test for measurement invariance of the 12-item WHODAS 2.0 in an epidemiological sample of youth aged 15 to 19 years with and without physical or mental conditions. Using data from 1,851 youth in the Canadian Community Health Survey-Mental Health, invariance was tested using multiple-group confirmatory factor analysis. Within-domain item correlations were significant and ordinal coefficient alphas were .91, .94, .93, and .92 for the healthy control, physical, mental, and comorbid groups, respectively. Partial measurement invariance was demonstrated for the WHODAS 2.0, with evidence of noninvariance for item residuals and factor variances related to cognition and participation. While these domain-specific comparisons may be biased, valid comparisons of overall disability across subgroups of youth can be made with confidence.

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.

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)0.000
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 score0.043
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.046
GPT teacher head0.360
Teacher spread0.314 · 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