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Record W4285405104 · doi:10.3917/rsi.148.0052

Les propriétés psychométriques de la version francophone du Child Feeding Questionnaire

2022· article· fr· W4285405104 on OpenAlexaff
Annie Duguay-Ferguson, Suzanne Harrison

Bibliographic record

VenueRecherche en soins infirmiers · 2022
Typearticle
Languagefr
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Introduction: The Child feeding questionnaire is a tool that measures parent’s perception, attitudes, and preoccupation in regards of their child’s weight. Context: Even if this tool has been used for more than 20 years and has been translated in eight languages, there isn’t a known French version. Objectif: The aim of this methodological research was to translate in French and to test its validity and reliability. Method: Reverse translation produced a French version of Child feeding questionnaire which was sent to 455 French speaking parents of children aged five to ten years old. Instrument validity and fidelity were tested using the following analysis: factor analysis, the internal consistency, the descriptive analysis, and the Pearson correlation. Results: A total of 136 questionnaires were analysed. Factor analysis revealed nine major factors with a significant internal consistency. Discussion: Like other research findings, results from this study showed that parents underestimate their children’s weight and have few concerns regarding their condition. Conclusion: Results confirm the preliminary psychometric properties of the French translated Child feeding questionnaire.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.395
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.

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
Published2022
Admission routes1
Has abstractyes

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