MétaCan
Menu
Back to cohort
Record W3040615244 · doi:10.1111/jar.12777

Development of a questionnaire to assess the quality of service trajectories in autism spectrum disorder from families' perspective

2020· article· en· W3040615244 on OpenAlexaff
Mélina Rivard, Catherine Mello, Céline Mercier, Christine Lefebvre, Marie Millau, Marjorie Morin, Diane Morin, Nadia Abouzeid, Céline Chatenoud

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2020
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsPerspective (graphical)Autism spectrum disorderPsychologyQuality (philosophy)Discriminant validityAutismService (business)Internal consistencyClinical psychologyApplied psychologyDevelopmental psychologyPsychometricsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: ETAP-1 was created to evaluate the quality of services trajectory from families' perspective. The items of ETAP-1 were developed from previous studies on integrated care, existing quality assessments, and consultations with families and experts in evaluation and in autism spectrum disorder (ASD). METHOD: The questionnaire was completed by 200 parents of children aged 5 and under who were recently diagnosed with ASD or intellectual disability. Of these, 183 received diagnostic evaluation through a clinic specialized in ASD; the other 17 underwent diagnostic evaluation in hospital settings. RESULTS: Factor analysis supported the a priori dimensions of quality and distinctions between experiences before and during diagnostic evaluation. The instrument had high internal consistency, convergent and discriminant validity with other measures and was sensitive to differences in service delivery models. DISCUSSION: ETAP-1 is useful in organizing information on families' experiences throughout their services trajectories and according to a dynamic perspective.

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)0.005
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.240
GPT teacher head0.452
Teacher spread0.211 · 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 designQualitative
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

Citations12
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Applied Research in Intellectual DisabilitiesSame topicFamily and Disability Support ResearchFrench-language works237,207