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Record W4414363025 · doi:10.1093/geront/gnaf202

Concurrent and convergent construct validities of the 5-item World Health Organization Ageism Experiences Scale in older French Canadians

2025· article· en· W4414363025 on OpenAlexaff
Mélanie Levasseur, Daniel Naud, Aja Louise Murray

Bibliographic record

VenueThe Gerontologist · 2025
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsConstruct (python library)Scale (ratio)Construct validityPopulationConvergent validityPrejudice (legal term)

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Few instruments have a multi-faceted scope designed to capture several aspects of ageism across diverse contexts, known psychometrics qualities, and are available in multiple languages. The World Health Organization developed the Ageism Scale (WHO-ageism), a 5-item multi-faceted instrument, but its psychometrics qualities and French version are lacking. This study aimed to document the French translation of the WHO-ageism, verify its factor structure and internal consistency, and examine its concurrent construct validity with the Everyday Ageism Scale (EAS) and its convergent validity with social participation and life satisfaction, among older adults living in conventional dwellings (CD) and independent living facilities (ILF). RESEARCH DESIGN AND METHODS: The WHO-ageism was translated according to the Translation, Review, Adjudication, Pretest, and Documentation approach. A cross-sectional survey was carried out with French-speaking adults aged 75+ years (n = 979). The concurrent and convergent construct validities of the WHO-ageism were examined with correlations with the EAS, social participation, and life satisfaction scales. RESULTS: Translation was finalized without disagreements. Respondents averaged 82.2 years (SD = 5.4), with two-thirds women. The 5-item version presented a single-factor structure and a minimally acceptable internal consistency. WHO-ageism presented satisfactory convergent validity with the EAS (r = .40; p < .001), among women and men (r = .29 and .43; p < .001), and in CD and ILF (r = .43 and .28; p < .001). It correlated weakly with social participation (r = -.09; p < .01) and life satisfaction (r = -.28; p < .001). DISCUSSION AND IMPLICATIONS: These results demonstrate the WHO-ageism's single-factor structure, internal consistency, and construct validity, supporting its use in large population surveys to inform strategies addressing ageism.

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)0.000
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 score0.101
Threshold uncertainty score0.948

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 studies0.0000.002
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 head0.029
GPT teacher head0.344
Teacher spread0.315 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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